Triple
T15191027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief Mbonga |
E363008
|
entity |
| Predicate | hasSceneWith |
P89587
|
FINISHED |
| Object |
Tarzan (Alexander Skarsgård)
Tarzan (Alexander Skarsgård) is the jungle-raised hero and central protagonist of the 2016 film "The Legend of Tarzan," portrayed as a physically powerful yet conflicted figure torn between his wild upbringing and his aristocratic life in England.
|
E1141876
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tarzan (Alexander Skarsgård) | Statement: [Chief Mbonga, hasSceneWith, Tarzan (Alexander Skarsgård)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarzan (Alexander Skarsgård) Context triple: [Chief Mbonga, hasSceneWith, Tarzan (Alexander Skarsgård)]
-
A.
Tarzan (2013 film)
Tarzan (2013 film) is a 2013 computer-animated action-adventure adaptation of Edgar Rice Burroughs' classic jungle hero story, featuring Kellan Lutz as the voice of Tarzan.
-
B.
Tarzan
Tarzan is a 1999 animated adventure film produced by Walt Disney Animation Studios, adapting Edgar Rice Burroughs’ story of a man raised by apes in the African jungle.
-
C.
Tarzan
Tarzan is a fictional jungle hero, raised by apes and known for his extraordinary strength, agility, and deep connection to the natural world.
-
D.
Tarzan (1999 film)
Tarzan (1999 film) is a 1999 Disney animated feature that adapts Edgar Rice Burroughs’ jungle hero into a musical adventure about a man raised by gorillas who must choose between the world of humans and the family that raised him.
-
E.
Ernst in The Legend of Tarzan (TV series)
Ernst in The Legend of Tarzan (TV series) is a supporting character in Disney’s animated Tarzan television adaptation, known for appearing in episodes that expand on Tarzan’s adventures beyond the original film.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tarzan (Alexander Skarsgård) Triple: [Chief Mbonga, hasSceneWith, Tarzan (Alexander Skarsgård)]
Generated description
Tarzan (Alexander Skarsgård) is the jungle-raised hero and central protagonist of the 2016 film "The Legend of Tarzan," portrayed as a physically powerful yet conflicted figure torn between his wild upbringing and his aristocratic life in England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tarzan (Alexander Skarsgård) Target entity description: Tarzan (Alexander Skarsgård) is the jungle-raised hero and central protagonist of the 2016 film "The Legend of Tarzan," portrayed as a physically powerful yet conflicted figure torn between his wild upbringing and his aristocratic life in England.
-
A.
Tarzan (2013 film)
Tarzan (2013 film) is a 2013 computer-animated action-adventure adaptation of Edgar Rice Burroughs' classic jungle hero story, featuring Kellan Lutz as the voice of Tarzan.
-
B.
Tarzan
Tarzan is a 1999 animated adventure film produced by Walt Disney Animation Studios, adapting Edgar Rice Burroughs’ story of a man raised by apes in the African jungle.
-
C.
Tarzan
Tarzan is a fictional jungle hero, raised by apes and known for his extraordinary strength, agility, and deep connection to the natural world.
-
D.
Tarzan (1999 film)
Tarzan (1999 film) is a 1999 Disney animated feature that adapts Edgar Rice Burroughs’ jungle hero into a musical adventure about a man raised by gorillas who must choose between the world of humans and the family that raised him.
-
E.
Ernst in The Legend of Tarzan (TV series)
Ernst in The Legend of Tarzan (TV series) is a supporting character in Disney’s animated Tarzan television adaptation, known for appearing in episodes that expand on Tarzan’s adventures beyond the original film.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSceneWith Context triple: [Chief Mbonga, hasSceneWith, Tarzan (Alexander Skarsgård)]
-
A.
containsScene
Indicates that one entity (typically a media item or narrative work) includes or features a particular scene as part of its content.
-
B.
hasSubscene
Indicates that a scene is composed of or contains another scene as a subordinate or nested part.
-
C.
hasInfluenceFromScene
Indicates that something is affected, shaped, or guided by the characteristics or context of a particular scene.
-
D.
hasRegionalScene
Indicates that something possesses or is associated with a specific regional scene, such as a localized cultural, artistic, or social milieu.
-
E.
sharedSceneWith
chosen
Indicates that two entities appear together within the same scene or setting.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067d55ac8190b7a7fce36e6ddf3c |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec89797ac819090fb68bb5f2fad5c |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69fec974f39c819081dcec5c18090cf7 |
completed | May 9, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feca9d1a5c8190b0c649f83a74231b |
completed | May 9, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69deb97bd8bc8190b2ad4888f97cf963 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:10 a.m.