Triple

T295928
Position Surface form Disambiguated ID Type / Status
Subject Guillermo del Toro E6092 entity
Predicate familyName P18 FINISHED
Object del Toro E6092 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: del Toro | Statement: [Guillermo del Toro, familyName, del Toro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: del Toro
Context triple: [Guillermo del Toro, familyName, del Toro]
  • A. Guillermo del Toro chosen
    Guillermo del Toro is an acclaimed Mexican filmmaker known for his visually rich, genre-blending fantasy and horror films such as Pan's Labyrinth and The Shape of Water.
  • B. Rodrigo García
    Rodrigo García is a Colombian-born film and television director and screenwriter, known for character-driven dramas and for being the son of Nobel Prize–winning author Gabriel García Márquez.
  • C. J. A. Bayona
    J. A. Bayona is a Spanish film director known for visually striking, emotionally intense works such as "The Orphanage," "The Impossible," and "A Monster Calls."
  • D. Marisa del Toro
    Marisa del Toro is one of the children of acclaimed Mexican filmmaker Guillermo del Toro.
  • E. Robert Rodriguez
    Robert Rodriguez is an American filmmaker known for his stylish, action-driven movies such as "Desperado," "From Dusk Till Dawn," and the "Spy Kids" series, often made with a distinctive low-budget, DIY approach.
  • 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2e979663481908cf9622e59fed041 completed Feb. 28, 2026, 1:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3ab9fda4c81909358613369a6848c completed March 1, 2026, 2:59 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.