Triple
T37575912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1995 UEFA Cup Winners' Cup Final vs Arsenal |
E934817
|
entity |
| Predicate | realZaragozaGoalkeeper |
P189069
|
FINISHED |
| Object | Andoni Cedrún |
—
|
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: Andoni Cedrún | Statement: [1995 UEFA Cup Winners' Cup Final vs Arsenal, realZaragozaGoalkeeper, Andoni Cedrún]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: realZaragozaGoalkeeper Context triple: [1995 UEFA Cup Winners' Cup Final vs Arsenal, realZaragozaGoalkeeper, Andoni Cedrún]
-
A.
goalkeeperArgentina
Indicates that the subject is the goalkeeper for a team representing Argentina.
-
B.
MexicoGoalkeeper
Indicates that an entity serves as a goalkeeper for a Mexican national or club soccer team.
-
C.
realZaragozaCaptain
Indicates that the subject serves as the team captain of Real Zaragoza.
-
D.
realZaragozaManager
Indicates that a person holds or has held the position of manager (head coach) of the football club Real Zaragoza.
-
E.
equalisingGoalScorerForSpain
Indicates that the referenced entity is the player who scored the goal that brought Spain’s score level with their opponent.
- 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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbb083ab708190a18b045311106f27 |
completed | May 6, 2026, 9:20 p.m. |
Created at: May 3, 2026, 4:17 p.m.