Triple
T2583747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lloyd Carr |
E57150
|
entity |
| Predicate | conferenceTitlesWon |
P18601
|
FINISHED |
| Object | 5 Big Ten Conference titles |
—
|
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: 5 Big Ten Conference titles | Statement: [Lloyd Carr, conferenceTitlesWon, 5 Big Ten Conference titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conferenceTitlesWon Context triple: [Lloyd Carr, conferenceTitlesWon, 5 Big Ten Conference titles]
-
A.
conferenceTournamentTitles
Indicates the number of conference tournament championships an entity has won.
-
B.
mastersTitles
Indicates that one entity holds one or more master's degree titles associated with another entity (such as an institution, field, or program).
-
C.
hasChampionships
Indicates that one entity possesses or has won one or more championships associated with another entity.
-
D.
conferenceTitlesInSport
chosen
Indicates that the subject has won or holds conference titles within a particular sport.
-
E.
winnerTitleCount
Indicates the number of titles or championships an entity has won.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3cb33a08190a3eae1a95e1b63bf |
completed | March 7, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69abd0cfeae08190aed03866ba071c5c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.