Triple
T23486482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lou Little |
E570546
|
entity |
| Predicate | teamCoachedToBowlWin |
P92855
|
FINISHED |
| Object | Columbia Lions |
—
|
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: Columbia Lions | Statement: [Lou Little, teamCoachedToBowlWin, Columbia Lions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamCoachedToBowlWin Context triple: [Lou Little, teamCoachedToBowlWin, Columbia Lions]
-
A.
coachedTeamInBowlGame
Indicates that a coach led or directed a particular team in a specific bowl game.
-
B.
hasWonBowlGame
Indicates that a team or individual has achieved victory in a specific bowl game competition.
-
C.
hasWonBowlGames
Indicates that one entity has achieved victories in one or more bowl games associated with another entity.
-
D.
teamCoachedInChampionshipSeason
Indicates that a person served as the coach of a particular team during a season in which that team competed in a championship.
-
E.
teamCoachedReached
chosen
Indicates that a coach’s team successfully advanced to or reached a particular stage, event, or achievement.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a754825481909b005ca5654c3159 |
completed | April 29, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69f0620ac3608190b36916261ea50f54 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:04 p.m.