Triple
T34843951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2005–06 NCAA Division I men's basketball season |
E1004415
|
entity |
| Predicate | woodenCoachOfTheYear |
P181915
|
FINISHED |
| Object | Jay Wright |
—
|
NE NERFINISHED |
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: Jay Wright | Statement: [2005–06 NCAA Division I men's basketball season, woodenCoachOfTheYear, Jay Wright]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: woodenCoachOfTheYear Context triple: [2005–06 NCAA Division I men's basketball season, woodenCoachOfTheYear, Jay Wright]
-
A.
conferenceCoachOfTheYearIn
Indicates that a coach received the Conference Coach of the Year award in a specified conference and season or year.
-
B.
numberOfCoachOfTheYearAwards
Indicates the count of times an entity has received a Coach of the Year award.
-
C.
nationalCoachOfTheYearTeam
Indicates that a coach received a national Coach of the Year honor specifically for their work with the referenced team.
-
D.
winningCoachSchool
Indicates that a particular school is the one whose team was coached by the winning coach in a given competition or event.
-
E.
featuredCoach
Indicates that a particular coach is highlighted or given special prominence within a specific context or collection.
- F. None of above. chosen
Provenance (4 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_69f76db97714819099b5bed36fd64e9d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f782f416c081908bdd9b1ad456f0e2 |
completed | May 3, 2026, 5:16 p.m. |
Created at: May 3, 2026, 4 p.m.