Triple

T11338400
Position Surface form Disambiguated ID Type / Status
Subject Brady Corbet E268530 entity
Predicate workedWith P398 FINISHED
Object Antonio Campos E417692 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: Antonio Campos | Statement: [Brady Corbet, workedWith, Antonio Campos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antonio Campos
Context triple: [Brady Corbet, workedWith, Antonio Campos]
  • A. Antonio Campos chosen
    Antonio Campos is an American filmmaker known for his dark, character-driven dramas and thrillers, including works like "The Devil All the Time" and "Christine."
  • B. Fede Álvarez
    Fede Álvarez is a Uruguayan filmmaker best known for directing modern horror films such as the 2013 remake of "Evil Dead" and "Don't Breathe."
  • C. Nico Parker
    Nico Parker is a British actress known for her breakout role in Disney's live-action "Dumbo" (2019) and subsequent appearances in film and television.
  • D. Alex Gansa
    Alex Gansa is an American television writer and producer best known for co-creating and showrunning the acclaimed political thriller series "Homeland."
  • E. Alexandre Aja
    Alexandre Aja is a French filmmaker best known for his work in the horror and thriller genres, including films like "High Tension," "The Hills Have Eyes," and "Piranha 3D."
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea008b5081908e6c6c6fc29ef936 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5433d3e848190ad4f51c23d5a8bb2 completed April 19, 2026, 9:03 p.m.
Created at: April 8, 2026, 9:33 p.m.