Triple
T36828187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles Lakers vs. Philadelphia 76ers (2001 NBA Finals) |
E910065
|
entity |
| Predicate | IversonGame1Points |
P186334
|
FINISHED |
| Object | 48 |
—
|
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: 48 | Statement: [Los Angeles Lakers vs. Philadelphia 76ers (2001 NBA Finals), IversonGame1Points, 48]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: IversonGame1Points Context triple: [Los Angeles Lakers vs. Philadelphia 76ers (2001 NBA Finals), IversonGame1Points, 48]
-
A.
scoredCareerHighPointsInSingleGame
Indicates that an entity achieved their highest-ever number of points in a single game during the referenced event or game.
-
B.
uniqueLeBronAchievement
Indicates that the referenced achievement is one that only LeBron has accomplished and no other player shares.
-
C.
timDuncanPointsGame1
Indicates the number of points that Tim Duncan scored in Game 1 of a particular series or matchup.
-
D.
scored70PointsInSingleGame
Indicates that an entity achieved a total of 70 points in a single game or match.
-
E.
scored71PointsInSingleGame
Indicates that an entity achieved a total of 71 points in a single game.
- 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_69f76e7e9d60819092442fba73290a46 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7cabdd2d88190be1c8de7e499cb83 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c89b528c8190bf80b230fc7c7108 |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7ca91f1808190b2a05c4b691da0bb |
completed | May 3, 2026, 10:22 p.m. |
Created at: May 3, 2026, 4:13 p.m.