Triple
T28828661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isaiah Thomas |
E727981
|
entity |
| Predicate | scoringAveragePeakSeasonPointsPerGame |
P52811
|
FINISHED |
| Object | 28.9 |
—
|
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: 28.9 | Statement: [Isaiah Thomas, scoringAveragePeakSeasonPointsPerGame, 28.9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scoringAveragePeakSeasonPointsPerGame Context triple: [Isaiah Thomas, scoringAveragePeakSeasonPointsPerGame, 28.9]
-
A.
scoringAverageOver30PPGSeason
Indicates that an entity (typically a player) has recorded a season with a scoring average exceeding 30 points per game.
-
B.
pointsPerGame
chosen
Indicates the average number of points an entity scores per game over a given set of games.
-
C.
CBASeasonPointsPerGameLeader
Indicates the player who led the CBA in average points scored per game for a given season.
-
D.
scoringAverage
Indicates the typical or mean score achieved by an entity over a series of attempts, events, or performances.
-
E.
NBASeasonScoringLeader
Indicates that the subject was the player who scored the most total points in a given NBA season.
- 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_69f0319dc6088190bbfaa206d40ed74a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6593a83c08190bec83114310ce111 |
completed | May 2, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:37 a.m.