Triple
T34532049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LSU Tigers men's golf |
E886563
|
entity |
| Predicate | individualNCAAChampions |
P99439
|
FINISHED |
| Object | Fred Haas Jr. |
—
|
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: Fred Haas Jr. | Statement: [LSU Tigers men's golf, individualNCAAChampions, Fred Haas Jr.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: individualNCAAChampions Context triple: [LSU Tigers men's golf, individualNCAAChampions, Fred Haas Jr.]
-
A.
collegeTeamChampionships
Indicates the championships or titles that a college sports team has won.
-
B.
NCAAtournamentChampionshipYears
Indicates the years in which an entity won the NCAA tournament championship.
-
C.
NCAAChampionshipCount
Indicates the number of NCAA championships an entity has won.
-
D.
NCAAChampionMostOutstandingPlayerTeam
Indicates that a team had a player who was selected as the Most Outstanding Player on an NCAA championship-winning team.
-
E.
producedNCAAChampion
chosen
Indicates that an entity has been the origin, source, or training ground of an NCAA champion.
- 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_69f349cd7c148190aa99192b126d1527 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fe7d2948190b129fa36963a9b82 |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.