Triple
T23156392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerezo Osaka |
E578449
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Cerezo |
—
|
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: Cerezo | Statement: [Cerezo Osaka, nickname, Cerezo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cerezo Context triple: [Cerezo Osaka, nickname, Cerezo]
-
A.
Cerezo
chosen
Cerezo is a Spanish surname most notably associated with Enrique Cerezo, a prominent film producer and president of Atlético Madrid.
-
B.
Naranjal
Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
-
C.
Kistane
Kistane is an Afroasiatic language of the Highland East Cushitic branch spoken primarily by the Soddo Gurage people in central Ethiopia.
-
D.
Granato
Granato is an Italian surname borne by various notable individuals in sports and other fields.
-
E.
Argençola
Argençola is a small municipality in the comarca of Anoia in Catalonia, Spain, known for its rural landscape and historic village core.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efd598c81908fba9d583e30660e |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:01 p.m.