Triple
T2995667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jockey |
E81058
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Jackson Silva
Jackson Silva is a fictional jockey who serves as the central protagonist in a narrative focused on horse racing.
|
E315760
|
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: Jackson Silva | Statement: [Jockey, mainCharacter, Jackson Silva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jackson Silva Context triple: [Jockey, mainCharacter, Jackson Silva]
-
A.
Howard Da Silva
Howard Da Silva was an American character actor and singer known for his work on Broadway and in film, including notable roles in classic musicals and dramas.
-
B.
Mike Ribeiro
Mike Ribeiro is a Canadian former professional ice hockey center known for his playmaking skills during a lengthy NHL career with teams including the Montreal Canadiens, Dallas Stars, and Nashville Predators.
-
C.
Chris Soares
Chris Soares is a video game industry figure best known as a founder of the renowned Call of Duty developer Treyarch.
-
D.
Alann Lopes
Alann Lopes is an entrepreneur and founder associated with the educational organization Sally Ride Science.
-
E.
Joe Alves
Joe Alves is an American film production designer, art director, and director best known for his work on major films like Jaws and Close Encounters of the Third Kind.
- 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: Jackson Silva Triple: [Jockey, mainCharacter, Jackson Silva]
Generated description
Jackson Silva is a fictional jockey who serves as the central protagonist in a narrative focused on horse racing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jackson Silva Target entity description: Jackson Silva is a fictional jockey who serves as the central protagonist in a narrative focused on horse racing.
-
A.
Howard Da Silva
Howard Da Silva was an American character actor and singer known for his work on Broadway and in film, including notable roles in classic musicals and dramas.
-
B.
Mike Ribeiro
Mike Ribeiro is a Canadian former professional ice hockey center known for his playmaking skills during a lengthy NHL career with teams including the Montreal Canadiens, Dallas Stars, and Nashville Predators.
-
C.
Chris Soares
Chris Soares is a video game industry figure best known as a founder of the renowned Call of Duty developer Treyarch.
-
D.
Alann Lopes
Alann Lopes is an entrepreneur and founder associated with the educational organization Sally Ride Science.
-
E.
Joe Alves
Joe Alves is an American film production designer, art director, and director best known for his work on major films like Jaws and Close Encounters of the Third Kind.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99f2e5888190b3346012e2578dab |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b10908cfe48190bf244d5a3dbc958b |
completed | March 11, 2026, 6:17 a.m. |
| NEDg | Description generation | batch_69b10ab5e3488190b2d8c98dd296cbe5 |
completed | March 11, 2026, 6:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10b1664f081909b521ee8dd5954f9 |
completed | March 11, 2026, 6:26 a.m. |
Created at: March 8, 2026, 2:59 p.m.