Triple
T32982334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gino Pozzo |
E843834
|
entity |
| Predicate | roleAtGranadaCF |
P13665
|
FINISHED |
| Object | former controlling investor |
—
|
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: former controlling investor | Statement: [Gino Pozzo, roleAtGranadaCF, former controlling investor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtGranadaCF Context triple: [Gino Pozzo, roleAtGranadaCF, former controlling investor]
-
A.
roleAtACMilan
Indicates that an entity holds or held a specific role or position at the football club AC Milan.
-
B.
roleInAstonVillaFC
Indicates that one entity holds or has held a specific role or position within the Aston Villa Football Club organization.
-
C.
roleAtSportsTeam
chosen
Indicates the specific position or function an individual holds within a sports team.
-
D.
roleAtStadium
Indicates that an entity holds a specific role, function, or position associated with a particular stadium.
-
E.
roleInManchesterCity
Indicates that an entity holds or has held a specific role or position within Manchester City 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_69f3494c6f9c8190a255409fce8b1d3b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: May 1, 2026, 1:22 a.m.