Triple
T4003174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Nance |
E89460
|
entity |
| Predicate | blocksPerGameCareerAverage |
P10822
|
FINISHED |
| Object | 2.2 |
—
|
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: 2.2 | Statement: [Larry Nance, blocksPerGameCareerAverage, 2.2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blocksPerGameCareerAverage Context triple: [Larry Nance, blocksPerGameCareerAverage, 2.2]
-
A.
careerBlocksPerGame
chosen
Indicates the average number of blocked shots a player records per game over the course of their entire career.
-
B.
pointsPerGame
Indicates the average number of points an entity scores per game over a given set of games.
-
C.
careerPointsPerGame
Indicates the average number of points an individual scores per game over the course of their entire career.
-
D.
NBACareerGames
Indicates the total number of games an individual has played over the course of their NBA career.
-
E.
careerAssistsPerGame
Indicates the average number of assists a player records per game over the course of their entire career.
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa8579288190940487ad07e38de0 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8f89f2881909b0965419d15d46c |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:34 p.m.