Triple

T17388324
Position Surface form Disambiguated ID Type / Status
Subject Pedro Luque E422745 entity
Predicate hasWorkedWith P9615 FINISHED
Object Fede Álvarez 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: Fede Álvarez | Statement: [Pedro Luque, hasWorkedWith, Fede Álvarez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fede Álvarez
Context triple: [Pedro Luque, hasWorkedWith, Fede Álvarez]
  • A. Fede Álvarez chosen
    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."
  • B. Antonio Campos
    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."
  • C. Michael Gracey
    Michael Gracey is an Australian filmmaker and visual effects artist best known for directing the hit musical film "The Greatest Showman."
  • D. 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.
  • E. Roberto Aguirre-Sacasa
    Roberto Aguirre-Sacasa is an American playwright, screenwriter, and comic book writer best known for his work on Archie Comics properties and for developing several television series.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a8b66288190b29bb82eff761902 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:45 a.m.