Triple
T27903243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rawlings Football Coach of the Year 2013 |
E705694
|
entity |
| Predicate | coachTeamOfWinner |
P14146
|
FINISHED |
| Object | Florida State Seminoles |
—
|
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: Florida State Seminoles | Statement: [Rawlings Football Coach of the Year 2013, coachTeamOfWinner, Florida State Seminoles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachTeamOfWinner Context triple: [Rawlings Football Coach of the Year 2013, coachTeamOfWinner, Florida State Seminoles]
-
A.
winningTeam
Indicates which team is the victor in a given competition, game, or contest.
-
B.
coachOfScoringTeam
Indicates that one entity is the coach of the team that scored in a particular play or event.
-
C.
nicknameOfWinningTeam
Indicates that one entity is the nickname used to refer to the team that won a particular competition or event.
-
D.
winningManagerTeam
chosen
Indicates that the specified manager is the head coach/manager of the team that won a particular game, match, or competition.
-
E.
game4WinningTeam
Indicates which team won the specified game.
- 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_69ef96b490ac8190a412d04c5d009f3e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 27, 2026, 6:43 p.m.