Triple
T32707191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1993 NCAA Division I Men's Ice Hockey Championship |
E836303
|
entity |
| Predicate | headCoachChampionSchool |
P99047
|
FINISHED |
| Object | University of Maine |
—
|
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: University of Maine | Statement: [1993 NCAA Division I Men's Ice Hockey Championship, headCoachChampionSchool, University of Maine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headCoachChampionSchool Context triple: [1993 NCAA Division I Men's Ice Hockey Championship, headCoachChampionSchool, University of Maine]
-
A.
winningCoachSchool
chosen
Indicates that a particular school is the one whose team was coached by the winning coach in a given competition or event.
-
B.
headCoachTeam
Indicates that a person serves as the head coach of a particular team.
-
C.
headCoachWinningTeam
Indicates that the subject is the head coach of the team that won a particular game, match, or competition.
-
D.
collegeTeamCoached
Indicates that a person has served as a coach for a particular college sports team.
-
E.
stateChampionshipsWonAsHighSchoolCoach
Indicates the number of state championship titles an individual has won while serving as a high school 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_69f3493446148190819541f3ffe79975 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:10 a.m.