Triple

T4167842
Position Surface form Disambiguated ID Type / Status
Subject Kiss of the Spider Woman E84486 entity
Predicate notableCharacter P1481 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: [Kiss of the Spider Woman, notableCharacter, Molina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molina
Context triple: [Kiss of the Spider Woman, notableCharacter, 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. Varela
    Varela is a Spanish surname borne by numerous notable figures in politics, the military, arts, and public life 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_69aed932cab48190b80ffe35f7029ae1 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02c573788190a60ab3f83b07a6f6 completed March 9, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f4a022c819092b5489aa47f430c completed March 14, 2026, 3:31 p.m.
Created at: March 9, 2026, 3:44 p.m.