Triple

T8449322
Position Surface form Disambiguated ID Type / Status
Subject Four Rooms E199761 entity
Predicate cinematographyBy P1953 FINISHED
Object Guillermo Navarro E2251 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: Guillermo Navarro | Statement: [Four Rooms, cinematographyBy, Guillermo Navarro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guillermo Navarro
Context triple: [Four Rooms, cinematographyBy, Guillermo Navarro]
  • A. Guillermo Navarro chosen
    Guillermo Navarro is an acclaimed Mexican cinematographer known for his visually striking work on films such as "Pan’s Labyrinth," "Pacific Rim," and collaborations with directors like Guillermo del Toro.
  • B. Sergio Navarro
    Sergio Navarro is a relatively obscure individual whose primary public mention is as a notable bearer of the surname Navarro.
  • C. Pablo González
    Pablo González is an editor known for his work on the film "Tideland."
  • D. Fernando Lopez
    Fernando Lopez was a Filipino politician and businessman who served multiple terms as Vice President of the Philippines in the mid-20th century.
  • E. Hugo Martinez
    Hugo Martinez is a supporting character in the action film "Rambo: Last Blood," involved in the violent conflict that draws John Rambo into a rescue mission.
  • 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe445b7988190b53ae45070c70d1d completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dc85e48819083340d022d0dba9b completed April 2, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:09 p.m.