Triple
T4419181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Reeves |
E95053
|
entity |
| Predicate | APCoachOfTheYearSeason |
P14499
|
FINISHED |
| Object | 1993 |
—
|
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: 1993 | Statement: [Dan Reeves, APCoachOfTheYearSeason, 1993]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: APCoachOfTheYearSeason Context triple: [Dan Reeves, APCoachOfTheYearSeason, 1993]
-
A.
coachOfYearSeason
Indicates that a person was recognized as the coach of the year for a specific sports season.
-
B.
nbaCoachOfTheYearAward
Indicates that an individual has received the NBA Coach of the Year award for coaching excellence in a particular season.
-
C.
yearOfMajorCoachOfYearAwards
Indicates the specific year in which a coach received a Major Coach of the Year award.
-
D.
NFLCoachOfTheYearAward
chosen
Indicates that an individual has been recognized as the recipient of the NFL Coach of the Year award for a particular season.
-
E.
coachesConference
Indicates that one entity serves as a coach or trainer for another entity in the context of a conference.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3551e7c6c819090fa5dfb5ac58e4c |
completed | March 13, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69b34f5d0c54819085c08533bb58030a |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:29 p.m.