Triple
T5020143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darryl Sittler |
E112829
|
entity |
| Predicate | recordPointsInSingleGame |
P49539
|
FINISHED |
| Object | 10 points |
—
|
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: 10 points | Statement: [Darryl Sittler, recordPointsInSingleGame, 10 points]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordPointsInSingleGame Context triple: [Darryl Sittler, recordPointsInSingleGame, 10 points]
-
A.
pointsScored
chosen
Indicates the number of points an entity has earned or achieved in a particular event, game, or context.
-
B.
scored71PointsInSingleGame
Indicates that an entity achieved a total of 71 points in a single game.
-
C.
seasonPointsRecordSet
Indicates that a new record for total points scored in a season has been achieved or established.
-
D.
pointsPerGame
Indicates the average number of points an entity scores per game over a given set of games.
-
E.
championshipGameScore
Indicates the final score achieved by each participant in a championship game.
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7342c62881909acb35849da8761c |
completed | March 20, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69bd714ecfe08190b5830cfc1c74fa17 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:36 p.m.