Triple
T12766136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatari! (1962 film) |
E305128
|
entity |
| Predicate | leadCharacter |
P1668
|
FINISHED |
| Object |
Sean Mercer
Sean Mercer is the rugged, charismatic leader of a wild-animal capture team in Africa portrayed by John Wayne in the 1962 adventure film "Hatari!".
|
E1001911
|
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: Sean Mercer | Statement: [Hatari! (1962 film), leadCharacter, Sean Mercer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sean Mercer Context triple: [Hatari! (1962 film), leadCharacter, Sean Mercer]
-
A.
Chris Sawyer
Chris Sawyer is a Scottish video game designer and programmer best known for creating the hit simulation series RollerCoaster Tycoon and Transport Tycoon.
-
B.
Brandon Williams
Brandon Williams is an American Republican politician and businessman serving in the U.S. House of Representatives.
-
C.
Charles Hudson
Charles Hudson was a 19th-century British mountaineer and Anglican clergyman known for his pioneering ascents in the Alps.
-
D.
Andrew Mason
Andrew Mason is a film producer best known for his work on visually distinctive and genre-defining movies such as the neo-noir science fiction film "Dark City."
-
E.
Dan Osborn
Dan Osborn is a music industry figure best known as a founder of the independent record label Drag City.
- 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: Sean Mercer Triple: [Hatari! (1962 film), leadCharacter, Sean Mercer]
Generated description
Sean Mercer is the rugged, charismatic leader of a wild-animal capture team in Africa portrayed by John Wayne in the 1962 adventure film "Hatari!".
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sean Mercer Target entity description: Sean Mercer is the rugged, charismatic leader of a wild-animal capture team in Africa portrayed by John Wayne in the 1962 adventure film "Hatari!".
-
A.
Chris Sawyer
Chris Sawyer is a Scottish video game designer and programmer best known for creating the hit simulation series RollerCoaster Tycoon and Transport Tycoon.
-
B.
Brandon Williams
Brandon Williams is an American Republican politician and businessman serving in the U.S. House of Representatives.
-
C.
Charles Hudson
Charles Hudson was a 19th-century British mountaineer and Anglican clergyman known for his pioneering ascents in the Alps.
-
D.
Andrew Mason
Andrew Mason is a film producer best known for his work on visually distinctive and genre-defining movies such as the neo-noir science fiction film "Dark City."
-
E.
Dan Osborn
Dan Osborn is a music industry figure best known as a founder of the independent record label Drag City.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df1ef148190af525532fcb0933b |
completed | April 10, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f4e1508190a6f023f1d1dc192e |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f6863fada48190afe2ff7896a60094 |
completed | May 2, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f686bcac94819088782273effbb06a |
completed | May 2, 2026, 11:20 p.m. |
Created at: April 9, 2026, 5:28 p.m.