Triple
T7611645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artis Gilmore |
E172252
|
entity |
| Predicate | ABACareerReboundsLeader |
P77765
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
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: true | Statement: [Artis Gilmore, ABACareerReboundsLeader, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ABACareerReboundsLeader Context triple: [Artis Gilmore, ABACareerReboundsLeader, true]
-
A.
franchiseReboundsLeader
Indicates the player who holds the record for the most rebounds in a franchise’s history.
-
B.
careerReboundsPerGame
Indicates the average number of rebounds a player records per game over the course of their entire career.
-
C.
NBAReboundingLeaderYears
Indicates the years in which an entity was the NBA leader in rebounds.
-
D.
careerPointsABA
Indicates the total number of points a player has scored over their career in the ABA (American Basketball Association).
-
E.
WNBAReboundingLeader
Indicates that the subject is the player who led the WNBA in rebounds for a given season or time period.
- 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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa221c848190b892ba1caec8d83a |
completed | March 27, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e485f88190910b39da52a955fe |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8195e5c8190835e28d44e19f6ef |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:55 p.m.