Triple

T15308960
Position Surface form Disambiguated ID Type / Status
Subject The Woodsman E365976 entity
Predicate cinematographyBy P1953 FINISHED
Object Xavier Pérez Grobet E350719 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: Xavier Pérez Grobet | Statement: [The Woodsman, cinematographyBy, Xavier Pérez Grobet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xavier Pérez Grobet
Context triple: [The Woodsman, cinematographyBy, Xavier Pérez Grobet]
  • A. Xavier Fabré
    Xavier Fabré is a Spanish architect known for leading the post-fire reconstruction and restoration of Barcelona’s historic Gran Teatre del Liceu opera house.
  • B. Remi Aguilella
    Remi Aguilella is a musician best known as the drummer for the indie pop band Daughter.
  • C. Antoine Parra
    Antoine Parra is a French local politician who serves as the mayor of the coastal commune of Argelès-sur-Mer in southern France.
  • D. Julien Barbagallo
    Julien Barbagallo is a French drummer and musician best known for performing as the live drummer for the psychedelic music project Tame Impala.
  • E. Xavier Grobet chosen
    Xavier Grobet is a Mexican cinematographer known for his work on both independent and mainstream films, including the romantic comedy-drama "Enough Said."
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd176708190b0f6ba17aed92f8e completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef89feda88190b18f6a03d6e968aa completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.