Triple
T5869743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1999 NBA Finals |
E130483
|
entity |
| Predicate | timDuncanPointsGame1 |
P67621
|
FINISHED |
| Object | 33 |
—
|
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: 33 | Statement: [1999 NBA Finals, timDuncanPointsGame1, 33]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timDuncanPointsGame1 Context triple: [1999 NBA Finals, timDuncanPointsGame1, 33]
-
A.
scored71PointsInSingleGame
Indicates that an entity achieved a total of 71 points in a single game.
-
B.
maximumScorePerDunk
Indicates the highest number of points that can be awarded for a single dunk action in the given context.
-
C.
championshipGameScore
Indicates the final score achieved by each participant in a championship game.
-
D.
dateOf100PointGame
Indicates the date on which a specific 100-point game occurred.
-
E.
heldNBAAllTimeScoringRecordUntil
Indicates that one entity was the NBA’s all-time leading scorer up to a certain time, after which another entity surpassed that record.
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ffaef081909faaa7f420a3b9b7 |
completed | March 22, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69c03347e51c81909053bcf34e3b88ab |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c044fe17d08190b9bf47b13863ef52 |
completed | March 22, 2026, 7:37 p.m. |
Created at: March 22, 2026, 3:56 p.m.