Triple
T1351514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Legend |
E28891
|
entity |
| Predicate | wonCoachOfTheYear |
P17027
|
FINISHED |
| Object | NBA Coach of the Year 1997-98 |
—
|
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: NBA Coach of the Year 1997-98 | Statement: [Larry Legend, wonCoachOfTheYear, NBA Coach of the Year 1997-98]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonCoachOfTheYear Context triple: [Larry Legend, wonCoachOfTheYear, NBA Coach of the Year 1997-98]
-
A.
nbaCoachOfTheYearAward
chosen
Indicates that an individual has received the NBA Coach of the Year award for coaching excellence in a particular season.
-
B.
NFLCoachOfTheYearAward
Indicates that an individual has been recognized as the recipient of the NFL Coach of the Year award for a particular season.
-
C.
numberOfCoachOfTheYearAwards
Indicates the count of times an entity has received a Coach of the Year award.
-
D.
championshipWonAsCoach
Indicates that the subject, acting in the role of coach, has won a championship title with the associated team or organization.
-
E.
managerOfTheYearAwards
Indicates that an entity has received one or more "Manager of the Year" awards recognizing outstanding managerial performance.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c26b1b4881908ae4b1b2c9b268a0 |
completed | March 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69a4bef5857c81909ae984feb85a26ca |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.