Triple
T15068297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1980 NBA Finals |
E379810
|
entity |
| Predicate | Game 6 MagicJohnsonPoints |
P36440
|
FINISHED |
| Object | 42 |
—
|
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: 42 | Statement: [1980 NBA Finals, Game 6 MagicJohnsonPoints, 42]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Game 6 MagicJohnsonPoints Context triple: [1980 NBA Finals, Game 6 MagicJohnsonPoints, 42]
-
A.
numberOfTimesAwardedNBA Sixth Man of the Year Award
Indicates how many times an individual has received the NBA Sixth Man of the Year Award.
-
B.
maximumScorePerDunk
Indicates the highest number of points that can be awarded for a single dunk action in the given context.
-
C.
championshipGameScore
chosen
Indicates the final score achieved by each participant in a championship game.
-
D.
MVPShotsOnGoal
Indicates that the entity identified as the MVP recorded a certain number of shots on goal in a game or competition.
-
E.
scored70PointsInSingleGame
Indicates that an entity achieved a total of 70 points in a single game or match.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedeebc7e48190a86b4f0afe8844bb |
completed | April 15, 2026, 12:42 a.m. |
| PD | Predicate disambiguation | batch_69deb95a182081908fffc4402b02a394 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:02 a.m.