Triple

T20413365
Position Surface form Disambiguated ID Type / Status
Subject Isabel Sarli E500642 entity
Predicate notableWork P4 FINISHED
Object La mujer del mar NE NERFINISHED

How this triple was built (3 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 mar | Statement: [Isabel Sarli, notableWork, La mujer del mar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La mujer del mar
Context triple: [Isabel Sarli, notableWork, La mujer del mar]
  • A. La Reine de la mer
    La Reine de la mer is a lesser-known dramatic work by French playwright Marcelle Maurette, reflecting her characteristic interest in historical and emotionally intense narratives.
  • B. Queen of the Sea
    Queen of the Sea is the mythological title of Amphitrite, the sea goddess and wife of Poseidon in ancient Greek mythology.
  • C. La Sirena
    La Sirena is a privately owned, Kaplan F17 speed freighter starship captained by Cristóbal Rios and used as the primary vessel by Jean-Luc Picard and his allies in the series Star Trek: Picard.
  • D. The Sea Lady
    The Sea Lady is a 1902 fantasy novel by H. G. Wells that satirically explores Edwardian society through the disruptive arrival of a mysterious mermaid.
  • E. The Sea Lady
    The Sea Lady is a 2006 novel by British author Margaret Drabble that intertwines memory, identity, and the passage of time through the reunion of two former lovers at a seaside conference.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: La mujer del mar
Target entity description: La mujer del mar is an Argentine film starring Isabel Sarli, known for its blend of erotic melodrama and coastal setting characteristic of her collaborations with director Armando Bó.
  • A. La Reine de la mer
    La Reine de la mer is a lesser-known dramatic work by French playwright Marcelle Maurette, reflecting her characteristic interest in historical and emotionally intense narratives.
  • B. Queen of the Sea
    Queen of the Sea is the mythological title of Amphitrite, the sea goddess and wife of Poseidon in ancient Greek mythology.
  • C. La Sirena
    La Sirena is a privately owned, Kaplan F17 speed freighter starship captained by Cristóbal Rios and used as the primary vessel by Jean-Luc Picard and his allies in the series Star Trek: Picard.
  • D. The Sea Lady
    The Sea Lady is a 1902 fantasy novel by H. G. Wells that satirically explores Edwardian society through the disruptive arrival of a mysterious mermaid.
  • E. The Sea Lady
    The Sea Lady is a 2006 novel by British author Margaret Drabble that intertwines memory, identity, and the passage of time through the reunion of two former lovers at a seaside conference.
  • F. None of above. chosen

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.