Triple
T17545156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerónimo Peña |
E427306
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Peña |
—
|
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: Peña | Statement: [Gerónimo Peña, familyName, Peña]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peña Context triple: [Gerónimo Peña, familyName, Peña]
-
A.
Peña
chosen
Peña is a Spanish-origin surname borne by numerous individuals across the Spanish-speaking world and beyond.
-
B.
De la Peña
De la Peña is a Spanish surname typically indicating origin from a rocky or cliff-like geographical feature.
-
C.
Peláez
Peláez is a Spanish surname of likely Galician or Asturian origin, borne by various historical and contemporary figures.
-
D.
Peña Canto
Peña Canto is a prominent summit that forms the highest elevation in the Montes Torozos range of Spain’s Castile and León region.
-
E.
Mariano
Mariano is a masculine given name of Spanish and Portuguese origin, commonly used in various Spanish-speaking and Latin cultures.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e454609bdc8190b81b362906e7e3fd |
completed | April 19, 2026, 4:04 a.m. |
Created at: April 10, 2026, 5:49 a.m.