Triple
T27546429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2000 NBA All-Star Game |
E695373
|
entity |
| Predicate | ShaquilleONealPoints |
P90073
|
FINISHED |
| Object | 22 |
—
|
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: 22 | Statement: [2000 NBA All-Star Game, ShaquilleONealPoints, 22]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ShaquilleONealPoints Context triple: [2000 NBA All-Star Game, ShaquilleONealPoints, 22]
-
A.
pointsScoredInNBA
chosen
Indicates the number of points a player has scored in NBA games.
-
B.
PaulGeorgePoints
Indicates the number of points scored by Paul George in a game or over a specified period.
-
C.
LakersLeadingScorer
Indicates that the specified player is the one who scored the most points for the Los Angeles Lakers in a given game or time period.
-
D.
NBA_careerPoints
Indicates the total number of points a player has scored over the course of their NBA career.
-
E.
NBAAllTimeScoringLeader
Indicates that the subject holds the record for the most total points scored in NBA regular-season history.
- 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_69ef5386c3e08190bfe33aa326e1f72b |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62f850d148190929315018576b731 |
completed | May 2, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 1:33 p.m.