Triple
T33331182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Bibby |
E853408
|
entity |
| Predicate | NCAAChampionWith |
P99439
|
FINISHED |
| Object | UCLA Bruins men's basketball |
—
|
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: UCLA Bruins men's basketball | Statement: [Henry Bibby, NCAAChampionWith, UCLA Bruins men's basketball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NCAAChampionWith Context triple: [Henry Bibby, NCAAChampionWith, UCLA Bruins men's basketball]
-
A.
NCAAChampionshipCount
Indicates the number of NCAA championships an entity has won.
-
B.
NCAAChampionMostOutstandingPlayerTeam
Indicates that a team had a player who was selected as the Most Outstanding Player on an NCAA championship-winning team.
-
C.
hasWonNCAATitleIn
Indicates that an entity has won an NCAA championship title in a specified sport, category, or year.
-
D.
producedNCAAChampion
chosen
Indicates that an entity has been the origin, source, or training ground of an NCAA champion.
-
E.
NCAAChampionship
Indicates that an entity has won, holds, or is otherwise associated with an NCAA (National Collegiate Athletic Association) championship title in a particular sport or event.
- 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_69f34969614c81909cd99661b0902533 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:34 a.m.