Triple

T3860201
Position Surface form Disambiguated ID Type / Status
Subject The Impossible E90115 entity
Predicate screenwriter P2831 FINISHED
Object Sergio G. Sánchez E431586 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: Sergio G. Sánchez | Statement: [The Impossible, screenwriter, Sergio G. Sánchez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sergio G. Sánchez
Context triple: [The Impossible, screenwriter, Sergio G. Sánchez]
  • A. Sergio G. Sánchez chosen
    Sergio G. Sánchez is a Spanish screenwriter and director best known for his work on acclaimed horror and drama films, including collaborations with filmmaker J.A. Bayona.
  • B. Gonzalo López-Gallego
    Gonzalo López-Gallego is a Spanish film director known for his work in genre cinema, including thrillers and science fiction films.
  • C. J. David López-Salido
    J. David López-Salido is an economist known for his coauthored research in macroeconomics and monetary policy, including work with Jordi Galí.
  • D. Rafael Lopez-Cambil
    Rafael Lopez-Cambil is known as the husband of Spanish-French fashion designer and businesswoman Paloma Picasso.
  • E. F. Luis Mora
    F. Luis Mora was a Spanish-born American painter and illustrator known for his portraits, genre scenes, and contributions to early 20th-century American art.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec212a1c8190aba6311630c3fd3e completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db641e608190b9d5b190468c501f completed March 14, 2026, 10:04 p.m.
Created at: March 9, 2026, 3:19 p.m.