Triple

T9753870
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Peña E236506 entity
Predicate familyName P18 FINISHED
Object Peña E427302 NE 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: Peña | Statement: [Elizabeth Peña, familyName, Peña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peña
Context triple: [Elizabeth Peña, familyName, Peña]
  • A. Peña chosen
    Peña is a Spanish-origin surname borne by numerous individuals across the Spanish-speaking world and beyond.
  • B. Peláez
    Peláez is a Spanish surname of likely Galician or Asturian origin, borne by various historical and contemporary figures.
  • C. Mariano
    Mariano is a masculine given name of Spanish and Portuguese origin, commonly used in various Spanish-speaking and Latin cultures.
  • D. Enríquez
    Enríquez is a Spanish surname historically associated with noble lineages and prominent figures in the kingdoms of Castile and Aragon.
  • E. Bustamante
    Bustamante is a Spanish-origin surname borne by numerous notable figures in politics, arts, and sports across the Spanish-speaking world.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9fb01ad08190b2435fa505c622bc completed April 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b0288b808190821287a2cc54025d completed April 5, 2026, 12:43 a.m.
Created at: March 30, 2026, 8:24 p.m.