Triple
T4845303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hubie Brown |
E108273
|
entity |
| Predicate | startedNBAHeadCoachingYear |
P7106
|
FINISHED |
| Object | 1976 |
—
|
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: 1976 | Statement: [Hubie Brown, startedNBAHeadCoachingYear, 1976]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startedNBAHeadCoachingYear Context triple: [Hubie Brown, startedNBAHeadCoachingYear, 1976]
-
A.
NBAHeadCoachingDebutTeam
Indicates the team for which a person made their debut as a head coach in the NBA.
-
B.
headCoachStartYear
chosen
Indicates the year in which an individual began serving as the head coach of a team or organization.
-
C.
hiredAsHeadCoachYear
Indicates the year in which an individual was hired to serve as the head coach of a team or organization.
-
D.
beganHeadCoachingCareerWith
Indicates that an individual started their head coaching career with a specified team or organization.
-
E.
numberOfNBAChampionshipsAsHeadCoach
Indicates the count of NBA championship titles an individual has won while serving as a head coach.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e01872c81909607010c10538ad1 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2375a4819098e16acb982c8fab |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:25 p.m.