Triple
T38561486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1996 UEFA Champions League Final |
E928085
|
entity |
| Predicate | JuventusGoalkeeper |
P191440
|
FINISHED |
| Object | Angelo Peruzzi |
—
|
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: Angelo Peruzzi | Statement: [1996 UEFA Champions League Final, JuventusGoalkeeper, Angelo Peruzzi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JuventusGoalkeeper Context triple: [1996 UEFA Champions League Final, JuventusGoalkeeper, Angelo Peruzzi]
-
A.
goalkeeperOfItaly
Indicates that the subject is the person who plays as the goalkeeper for the Italy national football team.
-
B.
captainOfJuventus
Indicates the role of being the team captain of the Juventus football club.
-
C.
goalkeeperArgentina
Indicates that the subject is the goalkeeper for a team representing Argentina.
-
D.
MexicoGoalkeeper
Indicates that an entity serves as a goalkeeper for a Mexican national or club soccer team.
-
E.
ManchesterCityGoalkeeper
Indicates that the subject serves as a goalkeeper for the Manchester City football club.
- 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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdfbafbf48190abe38ec0003a6419 |
completed | May 7, 2026, 6:53 p.m. |
Created at: May 3, 2026, 4:32 p.m.