Triple
T25993762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Fazekas |
E646427
|
entity |
| Predicate | collegeTeamPointsLeader |
P168552
|
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, collegeTeamPointsLeader, Nevada Wolf Pack men's basketball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeTeamPointsLeader Context triple: [Nick Fazekas, collegeTeamPointsLeader, Nevada Wolf Pack men's basketball]
-
A.
collegeTeamPointsPerGameLeader
Indicates the player who leads a college team in average points scored per game.
-
B.
collegeTeamPoints
Indicates the number of points scored or accumulated by a college sports team in a particular game, season, or competition.
-
C.
collegeTeamPointsRecord
Indicates the record of points scored by a college sports team, typically summarizing their scoring performance over a season or set of games.
-
D.
collegeTeamPointsRecordHolder
Indicates that the subject is the record-holding individual or team for the highest number of points scored for a particular college team.
-
E.
collegeTeamPointsPerGame
Indicates the average number of points a college sports team scores per game.
- 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_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 22, 2026, 8:57 a.m.