Triple
T33431662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brighton Miracle |
E856145
|
entity |
| Predicate | JapanDeclinedLatePenaltyKickAtGoal |
P180464
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Brighton Miracle, JapanDeclinedLatePenaltyKickAtGoal, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JapanDeclinedLatePenaltyKickAtGoal Context triple: [Brighton Miracle, JapanDeclinedLatePenaltyKickAtGoal, true]
-
A.
JapanGoalKicker
Indicates that the subject is the player who kicked a goal for Japan in a given match or event.
-
B.
penaltyShootoutLoser
Indicates the team or player that loses a match as a result of a penalty shootout.
-
C.
penaltyShootoutMiss
Indicates that in a penalty shootout, the designated player failed to score on their penalty attempt.
-
D.
penaltyScoredBy
Indicates that a penalty (typically in a game or sport) was successfully converted or scored by a particular participant.
-
E.
kickedGoalAfterSiren
Indicates that an entity successfully kicked a goal after the final siren had sounded in a game or 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
| PDg | Predicate description generation | batch_69f74061c440819080434155c2d60341 |
completed | May 3, 2026, 12:32 p.m. |
Created at: May 1, 2026, 1:36 a.m.