Triple
T36828280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corliss Williamson |
E910067
|
entity |
| Predicate | wonNCAATitleWith |
P135046
|
FINISHED |
| Object | Arkansas Razorbacks 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: Arkansas Razorbacks men's basketball | Statement: [Corliss Williamson, wonNCAATitleWith, Arkansas Razorbacks men's basketball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonNCAATitleWith Context triple: [Corliss Williamson, wonNCAATitleWith, Arkansas Razorbacks men's basketball]
-
A.
hasWonNCAATitleIn
Indicates that an entity has won an NCAA championship title in a specified sport, category, or year.
-
B.
wonConferenceChampionshipsIn
Indicates that an entity has secured one or more conference championship titles in a specified league, sport, or time period.
-
C.
wonNBAGLeagueChampionship
Indicates that a team has won the NBA G League championship title in a given season.
-
D.
wonNationalTitle
chosen
Indicates that an entity has achieved first place or championship status in a competition at the national level.
-
E.
hasMultipleNCAATeamTitles
Indicates that an entity (such as a school or team) has won more than one NCAA team championship title.
- 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_69f76e7e9d60819092442fba73290a46 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7cabbc1008190a77cf3b503edb7df |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c89b528c8190bf80b230fc7c7108 |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:13 p.m.