Triple
T1801065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wisdom |
E39718
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Jerry Wisdom
Jerry Wisdom was a Bahamian sprinter known for competing in international track and field events, including the Olympic Games.
|
E203145
|
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: Jerry Wisdom | Statement: [Wisdom, hasNotableBearer, Jerry Wisdom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jerry Wisdom Context triple: [Wisdom, hasNotableBearer, Jerry Wisdom]
-
A.
Fred Williamson
Fred Williamson is an American actor and former professional football player best known for his roles in 1970s blaxploitation films and numerous action and genre movies.
-
B.
Ken Morris
Ken Morris is a technology entrepreneur best known as a founder of the enterprise software company PeopleSoft.
-
C.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
-
D.
Lee Holdridge
Lee Holdridge is an American composer and orchestrator best known for his work on film and television scores, including numerous collaborations with John Denver.
-
E.
Keith Merryman
Keith Merryman is an American screenwriter best known for co-writing popular romantic comedies such as "Think Like a Man" and its sequel.
- 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: Jerry Wisdom Triple: [Wisdom, hasNotableBearer, Jerry Wisdom]
Generated description
Jerry Wisdom was a Bahamian sprinter known for competing in international track and field events, including the Olympic Games.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jerry Wisdom Target entity description: Jerry Wisdom was a Bahamian sprinter known for competing in international track and field events, including the Olympic Games.
-
A.
Fred Williamson
Fred Williamson is an American actor and former professional football player best known for his roles in 1970s blaxploitation films and numerous action and genre movies.
-
B.
Ken Morris
Ken Morris is a technology entrepreneur best known as a founder of the enterprise software company PeopleSoft.
-
C.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
-
D.
Lee Holdridge
Lee Holdridge is an American composer and orchestrator best known for his work on film and television scores, including numerous collaborations with John Denver.
-
E.
Keith Merryman
Keith Merryman is an American screenwriter best known for co-writing popular romantic comedies such as "Think Like a Man" and its sequel.
- 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa656ad5d4819090e677ad137b0cd1 |
completed | March 6, 2026, 5:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf5645808190a774d96cfe5c5e58 |
completed | March 8, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69adbff135188190908058a2e2d41a1e |
completed | March 8, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adc0832cd881909702f380412702d5 |
completed | March 8, 2026, 6:31 p.m. |
Created at: March 4, 2026, 7:32 p.m.