Triple

T20413387
Position Surface form Disambiguated ID Type / Status
Subject Isabel Sarli E500642 entity
Predicate notableWork P4 FINISHED
Object La mujer del amor 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: La mujer del amor | Statement: [Isabel Sarli, notableWork, La mujer del amor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La mujer del amor
Context triple: [Isabel Sarli, notableWork, La mujer del amor]
  • A. La mujer del amante chosen
    La mujer del amante is an Argentine film starring Isabel Sarli, emblematic of her provocative and melodramatic roles in Latin American cinema.
  • B. El amante menguante
    El amante menguante is a musical piece featured on the original soundtrack of Pedro Almodóvar’s film "Hable con ella" (Talk to Her).
  • C. El Amante
    "El Amante" is a popular reggaeton song by Nicky Jam that became one of his signature romantic hits in the mid-2010s.
  • D. The Lover
    The Lover is a 1992 French romantic drama film set in colonial Vietnam, adapted from Marguerite Duras’s semi-autobiographical novel and directed by Jean-Jacques Annaud.
  • E. The Lover
    The Lover is a one-act play by Harold Pinter that explores the blurred boundaries between fantasy and reality within a seemingly conventional middle-class marriage.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a417f208190be9bc11650ee0a87 completed April 20, 2026, 7:10 p.m.
Created at: April 16, 2026, 11:30 a.m.