Triple
T31549766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prairie View A&M Panthers men's basketball |
E804965
|
entity |
| Predicate | historicallyKnownAsCollegeTeamOf |
P3202
|
FINISHED |
| Object | Zelmo Beaty |
—
|
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: Zelmo Beaty | Statement: [Prairie View A&M Panthers men's basketball, historicallyKnownAsCollegeTeamOf, Zelmo Beaty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicallyKnownAsCollegeTeamOf Context triple: [Prairie View A&M Panthers men's basketball, historicallyKnownAsCollegeTeamOf, Zelmo Beaty]
-
A.
collegeChampionshipTeam
Indicates that a team is the winner of a specified college-level championship competition.
-
B.
team1LaterKnownAs
chosen
Indicates that the first team was later renamed to or became known by the identity of the second team.
-
C.
formerTeamNameInRivalry
Indicates that a team previously had a specific name during the period of a particular rivalry.
-
D.
playedForCollegeTeamFrom
Indicates that an individual was a member of and played for a specific college team starting in a given year.
-
E.
formerSportsTeam
Indicates that an entity was once a member of or played for a particular sports team in the past but no longer does so.
- 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_69f348d11a048190a65eb8384a3754ac |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff48199b1c8190bb05872f8a4f4673 |
completed | May 9, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69ff4746b1cc8190854f70a124df7d04 |
completed | May 9, 2026, 2:40 p.m. |
Created at: April 30, 2026, 10:10 p.m.