Triple
T38561488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1996 UEFA Champions League Final |
E928085
|
entity |
| Predicate | penaltyScorerForJuventus |
P91903
|
FINISHED |
| Object | Vladimir Jugović |
—
|
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: Vladimir Jugović | Statement: [1996 UEFA Champions League Final, penaltyScorerForJuventus, Vladimir Jugović]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: penaltyScorerForJuventus Context triple: [1996 UEFA Champions League Final, penaltyScorerForJuventus, Vladimir Jugović]
-
A.
scoreJuventus
Indicates that an entity scores a goal for the Juventus football team in a match.
-
B.
penaltyScorerArgentina
Indicates that the subject is the player who scored a penalty kick for the Argentina team in a given match or event.
-
C.
penaltyGoalPoints
Indicates that points are awarded for a goal scored from a penalty situation.
-
D.
penaltyScoredBy
chosen
Indicates that a penalty (typically in a game or sport) was successfully converted or scored by a particular participant.
-
E.
captainOfJuventus
Indicates the role of being the team captain of the Juventus football club.
- 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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.