Triple
T21531935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maracanazo |
E531250
|
entity |
| Predicate | UruguayGoalScorer |
P2695
|
FINISHED |
| Object | Juan Alberto Schiaffino |
—
|
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: Juan Alberto Schiaffino | Statement: [Maracanazo, UruguayGoalScorer, Juan Alberto Schiaffino]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UruguayGoalScorer Context triple: [Maracanazo, UruguayGoalScorer, Juan Alberto Schiaffino]
-
A.
goalScorer
chosen
Indicates that the subject is the player who scored a particular goal in a game or match.
-
B.
goalScorerTeam
Indicates that a team is the one for which a particular goal scorer scored a goal.
-
C.
notableGoalScorer
Indicates that the subject is recognized for having scored a significant or noteworthy number of goals, typically in a sports context.
-
D.
penaltyGoalScorerForBrazil
Indicates that the subject is the player who scored a goal from a penalty kick for the Brazil national team.
-
E.
titleWinningGoalScorer
Indicates the player who scored the decisive goal that secured a title or championship in a competition.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0a0e7c8190bbb7ed5c4dfe33af |
completed | April 26, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:27 p.m.