Triple
T29710423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Korea vs Mexico (2018 FIFA World Cup) |
E751762
|
entity |
| Predicate | secondGoalScoredBy |
P194252
|
FINISHED |
| Object | Javier Hernández |
—
|
NE NERFINISHED |
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: Javier Hernández | Statement: [South Korea vs Mexico (2018 FIFA World Cup), secondGoalScoredBy, Javier Hernández]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondGoalScoredBy Context triple: [South Korea vs Mexico (2018 FIFA World Cup), secondGoalScoredBy, Javier Hernández]
-
A.
goalScorerSecondLeg
Indicates that an entity is the player who scored a goal in the second leg of a multi-leg match or tie.
-
B.
opponentGoalScorer
Indicates that an entity is the one who scored a goal for the opposing team against another entity.
-
C.
secondHalfScore
Indicates the number of points or goals an entity scored during the second half of a game or match.
-
D.
ownGoalBy
Indicates that a goal was accidentally scored against a team by the specified player (i.e., the player scored an own goal).
-
E.
secondMoroccoGoalScoredBy
Indicates the player who scored Morocco’s second goal in a given match.
- 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
| PDg | Predicate description generation | batch_69fd68ab21a0819096bfc4a8c14851ad |
completed | May 8, 2026, 4:38 a.m. |
Created at: April 28, 2026, 7:30 p.m.