Triple

T12331204
Position Surface form Disambiguated ID Type / Status
Subject Mujeres riendo E293963 entity
Predicate title P38 FINISHED
Object Mujeres riendo E293963 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: Mujeres riendo | Statement: [Mujeres riendo, title, Mujeres riendo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mujeres riendo
Context triple: [Mujeres riendo, title, Mujeres riendo]
  • A. Mujeres riendo (Women Laughing) chosen
    Mujeres riendo (Women Laughing) is one of Francisco Goya’s haunting Black Paintings, depicting two sinisterly laughing women in a dark, unsettling atmosphere.
  • B. Ten Women
    "Ten Women" is a song by the indie rock band Outer South, known for its reflective lyrics and melodic, guitar-driven sound.
  • C. Women on the Verge of a Nervous Breakdown
    Women on the Verge of a Nervous Breakdown is a 1988 Spanish dark comedy film directed by Pedro Almodóvar that follows a group of women dealing with love, betrayal, and emotional chaos in Madrid.
  • D. Up the Women
    Up the Women is a British sitcom set in 1910 that follows a group of women in a small English town as they become involved in the suffragette movement.
  • E. Two Women
    Two Women is a 1960 Italian war drama film directed by Vittorio De Sica, best known for Sophia Loren’s Oscar-winning performance as a mother struggling to protect her daughter during World War II.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f634ee08190b4f533505d402219 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e9114f48190988b84eaec2e810f completed May 2, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:53 p.m.