Triple
T2693202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Tyson |
E58450
|
entity |
| Predicate | notableTrainerRelationship |
P41100
|
FINISHED |
| Object | mentee of Cus D'Amato |
—
|
LITERAL FINISHED |
How this triple was built (2 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: mentee of Cus D'Amato | Statement: [Mike Tyson, notableTrainerRelationship, mentee of Cus D'Amato]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableTrainerRelationship Context triple: [Mike Tyson, notableTrainerRelationship, mentee of Cus D'Amato]
-
A.
notableCoach
Indicates that one entity is a coach who is widely recognized or distinguished in relation to the other entity.
-
B.
coachOf
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
-
C.
notableAssistantCoaches
Indicates that the subject has assistant coaches who are particularly distinguished or noteworthy in their roles.
-
D.
notableFormerCoach
Indicates that an entity previously served as a coach of another entity and is recognized as particularly significant or prominent in that former coaching role.
-
E.
notableHeadCoach
Indicates that a person has served as a head coach of particular significance or prominence for a team or organization.
- F. None of above. chosen
Provenance (4 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda0f43b08190a5abd936b14603b7 |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd81ea5d88190ab5c8f8b8064b931 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd879bb808190bd2c34de1664c816 |
completed | March 7, 2026, 7:49 a.m. |
Created at: March 6, 2026, 9:54 p.m.