Triple
T15355785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lego Bionicle |
E367166
|
entity |
| Predicate | themeOf |
P380
|
FINISHED |
| Object |
Turaga
Turaga are the wise elder leaders in the Lego Bionicle universe, guiding the Matoran and Toa with knowledge and experience.
|
E1151142
|
NE FINISHED |
How this triple was built (4 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: Turaga | Statement: [Lego Bionicle, themeOf, Turaga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turaga Context triple: [Lego Bionicle, themeOf, Turaga]
-
A.
Biliu and Makuta
Biliu and Makuta are traditional ceremonial garments of the Gorontalo people of Indonesia, typically worn during important cultural and social events.
-
B.
Tamatoa
Tamatoa is the giant, treasure-obsessed, singing coconut crab who serves as a flamboyant antagonist in Disney's animated film "Moana."
-
C.
Neytiri
Neytiri is a skilled Na'vi warrior and princess of the Omaticaya clan who becomes Jake Sully's guide and love interest in the film "Avatar."
-
D.
Togarmah
Togarmah is a biblical figure mentioned in the Hebrew Bible as a descendant of Gomer and traditionally associated with peoples or regions in Anatolia or the Caucasus.
-
E.
Sraosha
Sraosha is a key Zoroastrian divinity associated with obedience, religious devotion, and the protection of the righteous, often depicted as a guardian against evil forces.
- 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: Turaga Triple: [Lego Bionicle, themeOf, Turaga]
Generated description
Turaga are the wise elder leaders in the Lego Bionicle universe, guiding the Matoran and Toa with knowledge and experience.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Turaga Target entity description: Turaga are the wise elder leaders in the Lego Bionicle universe, guiding the Matoran and Toa with knowledge and experience.
-
A.
Biliu and Makuta
Biliu and Makuta are traditional ceremonial garments of the Gorontalo people of Indonesia, typically worn during important cultural and social events.
-
B.
Tamatoa
Tamatoa is the giant, treasure-obsessed, singing coconut crab who serves as a flamboyant antagonist in Disney's animated film "Moana."
-
C.
Neytiri
Neytiri is a skilled Na'vi warrior and princess of the Omaticaya clan who becomes Jake Sully's guide and love interest in the film "Avatar."
-
D.
Togarmah
Togarmah is a biblical figure mentioned in the Hebrew Bible as a descendant of Gomer and traditionally associated with peoples or regions in Anatolia or the Caucasus.
-
E.
Sraosha
Sraosha is a key Zoroastrian divinity associated with obedience, religious devotion, and the protection of the righteous, often depicted as a guardian against evil forces.
- F. None of above. chosen
Provenance (5 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2c00648190ae2325e1ee58dcfd |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff02012fa48190a108f1ca710ffb15 |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff02d0d0188190b6414a52bf8e6e54 |
completed | May 9, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff037ddf1c8190b7c93c1b3edf33e8 |
completed | May 9, 2026, 9:50 a.m. |
Created at: April 10, 2026, 3:18 a.m.