Triple
T22665583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Boy (award) |
E559774
|
entity |
| Predicate | notableWinner |
P2766
|
FINISHED |
| Object | Pedri |
—
|
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: Pedri | Statement: [Golden Boy (award), notableWinner, Pedri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pedri Context triple: [Golden Boy (award), notableWinner, Pedri]
-
A.
Pedri
chosen
Pedri is a Spanish professional footballer, renowned as one of the world’s top young midfield talents for FC Barcelona and the Spain national team.
-
B.
Eduardo Camavinga
Eduardo Camavinga is a French professional footballer, known as a dynamic, versatile midfielder for Real Madrid and the French national team.
-
C.
Xavi Giménez
Xavi Giménez is a Spanish cinematographer known for his atmospheric visual style in films such as the psychological thriller "The Machinist."
-
D.
Marco Asensio
Marco Asensio is a Spanish professional footballer known as a technically gifted attacking midfielder and winger who has starred for Real Madrid and the Spanish national team.
-
E.
João Félix
João Félix is a Portuguese professional footballer known for his creativity and technical skill as an attacking forward for club and country.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781b3dbc8190a312843cf8c1bfc6 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:08 p.m.