Triple
T7982041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicholas David Nurse |
E185591
|
entity |
| Predicate | NBACoachOfTheYearForSeason |
P17027
|
FINISHED |
| Object | 2019–20 NBA season |
—
|
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: 2019–20 NBA season | Statement: [Nicholas David Nurse, NBACoachOfTheYearForSeason, 2019–20 NBA season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NBACoachOfTheYearForSeason Context triple: [Nicholas David Nurse, NBACoachOfTheYearForSeason, 2019–20 NBA season]
-
A.
nbaCoachOfTheYearAward
chosen
Indicates that an individual has received the NBA Coach of the Year award for coaching excellence in a particular season.
-
B.
NaismithCoachOfYearWinner
Indicates that the subject is the recipient of the Naismith Coach of the Year award for a given season or context.
-
C.
NBAHeadCoachDebutSeason
Indicates the season in which a person first served as a head coach for an NBA team.
-
D.
NBAExecutiveOfTheYearAwards
Indicates the relationship where an individual receives or is honored with the NBA Executive of the Year award for a particular season or time period.
-
E.
NBAExecutiveOfTheYearAwardYear
Indicates the specific year in which an individual received the NBA Executive of the Year award.
- 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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c28cb108190bca697600bbbf53b |
completed | March 31, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69cb048009a08190b4c577208a9f8f76 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:15 p.m.