Triple

T11887572
Position Surface form Disambiguated ID Type / Status
Subject Juan Ignacio Molina E282827 entity
Predicate familyName P18 FINISHED
Object Molina E320497 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: Molina | Statement: [Juan Ignacio Molina, familyName, Molina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molina
Context triple: [Juan Ignacio Molina, familyName, Molina]
  • A. Molina chosen
    Molina is a Spanish-origin surname borne by numerous notable individuals across fields such as acting, sports, and science.
  • B. Molina
    Molina is a town and commune in Chile’s Maule Region, known for its agricultural activity and proximity to the Radal Siete Tazas National Park.
  • C. Navarrete
    Navarrete is a Spanish surname most notably borne by Javier Navarrete, an acclaimed film composer known for his work on movies such as "Pan's Labyrinth."
  • D. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • E. Diéguez
    Diéguez is a Spanish-language surname of Galician origin borne by various notable individuals, including figures in the arts and public life.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d3a13370819086386fecb99e4f0b completed April 10, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69f417da310c8190aa04df2a316a5dd0 completed May 1, 2026, 3:02 a.m.
Created at: April 8, 2026, 9:44 p.m.