Triple
T24659624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1979 NFC Championship Game |
E610500
|
entity |
| Predicate | numberOfFieldGoalsByFrankCorral |
P156928
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [1979 NFC Championship Game, numberOfFieldGoalsByFrankCorral, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFieldGoalsByFrankCorral Context triple: [1979 NFC Championship Game, numberOfFieldGoalsByFrankCorral, 3]
-
A.
fieldGoalsBy
chosen
Indicates that a specified number of field goals were made by a particular player or team.
-
B.
fieldGoalsMadeCareer
Indicates the total number of field goals a player has successfully made over the course of their entire career.
-
C.
careerFreeThrowPercentage
Indicates the proportion of free throws a player has successfully made over their entire career, expressed as a percentage.
-
D.
MVPShotsOnGoal
Indicates that the entity identified as the MVP recorded a certain number of shots on goal in a game or competition.
-
E.
NBAFieldGoalPercentageLeader
Indicates that the subject is the player who led the NBA in field goal percentage for a given season or time period.
- 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_69e2c4d453248190a020354e93ef6282 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 2:34 a.m.