Triple

T21843370
Position Surface form Disambiguated ID Type / Status
Subject Tortilla Soup E539309 entity
Predicate cinematographyBy P1953 FINISHED
Object Xavier Pérez Grobet 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: Xavier Pérez Grobet | Statement: [Tortilla Soup, cinematographyBy, Xavier Pérez Grobet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xavier Pérez Grobet
Context triple: [Tortilla Soup, cinematographyBy, Xavier Pérez Grobet]
  • A. Xavier Pérez Grobet chosen
    Xavier Pérez Grobet is a Mexican cinematographer known for his work on both feature films and television, including projects like "The Maldonado Miracle."
  • B. Pablo Gilabert
    Pablo Gilabert is a legal scholar and philosopher known for his work in jurisprudence and moral and political philosophy.
  • C. 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.
  • D. Jorge Granier
    Jorge Granier is a television producer best known for his work adapting and producing telenovela-inspired series for international audiences, including the hit show "Jane the Virgin."
  • E. Nicolas Garnier
    Nicolas Garnier is a relatively obscure individual whose specific public achievements or biographical details are not widely documented.
  • 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7ad76d48190a1905cfdbe866323 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.