Triple
T538015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smoky Joe Wood |
E12368
|
entity |
| Predicate | coachingTenure |
P10045
|
FINISHED |
| Object | Yale University baseball coach for several decades |
—
|
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: Yale University baseball coach for several decades | Statement: [Smoky Joe Wood, coachingTenure, Yale University baseball coach for several decades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachingTenure Context triple: [Smoky Joe Wood, coachingTenure, Yale University baseball coach for several decades]
-
A.
yearsActiveAsCoach
Indicates the span of time, typically in years, during which an individual has served in a coaching role.
-
B.
hasCoachedFor
chosen
Indicates that one entity has served in a coaching role for another entity, such as a team, organization, or individual.
-
C.
headCoachTenure
Indicates the duration or period during which a specific individual serves as the head coach of a team or organization.
-
D.
playerCoachChampionshipYears
Indicates the years in which a specific coach led a particular player to win a championship.
-
E.
hiredAsHeadCoachYear
Indicates the year in which an individual was hired to serve as the head coach of a team or organization.
- F. None of above.
Provenance (3 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4985e51908190a34aa82ea9dbee1e |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b51ff08190a39f4168fd9a7ddf |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.