Triple
T25993763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Fazekas |
E646427
|
entity |
| Predicate | collegeTeamReboundsLeader |
P168907
|
FINISHED |
| Object | Nevada Wolf Pack 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: Nevada Wolf Pack men's basketball | Statement: [Nick Fazekas, collegeTeamReboundsLeader, Nevada Wolf Pack men's basketball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeTeamReboundsLeader Context triple: [Nick Fazekas, collegeTeamReboundsLeader, Nevada Wolf Pack men's basketball]
-
A.
collegeTeamReboundsRecord
Indicates the record number of rebounds achieved by a college sports team, typically within a game, season, or other defined period.
-
B.
franchiseReboundsLeader
Indicates the player who holds the record for the most rebounds in a franchise’s history.
-
C.
reboundsLeaderTeam
Indicates that a team is the leading team in total rebounds in a given game, season, or competition context.
-
D.
collegeTeamPointsLeader
Indicates that the subject is the player who has scored the most points for a particular college team.
-
E.
NBAReboundingLeaderYears
Indicates the years in which an entity was the NBA leader in rebounds.
- F. None of above. chosen
Provenance (4 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_69e77e88cb8481908da31d4a00661f55 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f67866e9248190b7ba218f9ca2ae8d |
completed | May 2, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676c35f3481909b9ba18a5662d6ce |
completed | May 2, 2026, 10:12 p.m. |
Created at: April 22, 2026, 8:57 a.m.