Triple

T11051958
Position Surface form Disambiguated ID Type / Status
Subject Matt Graver E261275 entity
Predicate collaboratesWith P37 FINISHED
Object Alejandro Gillick E143597 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: Alejandro Gillick | Statement: [Matt Graver, collaboratesWith, Alejandro Gillick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alejandro Gillick
Context triple: [Matt Graver, collaboratesWith, Alejandro Gillick]
  • A. Alejandro Gillick chosen
    Alejandro Gillick is a mysterious and ruthless former prosecutor turned covert operative who serves as a key enforcer in the Sicario film series.
  • B. Mateo Gil
    Mateo Gil is a Spanish screenwriter and film director known for his collaborations with Alejandro Amenábar on acclaimed films such as "The Sea Inside" and "Open Your Eyes."
  • C. Gonzalo Menendez
    Gonzalo Menendez is an American actor known for his supporting roles in film and television, including appearances in action, drama, and science fiction projects.
  • D. Juan Miguel Azpiroz
    Juan Miguel Azpiroz is a cinematographer best known for his work on the film "The Way."
  • E. Alejandro Springall
    Alejandro Springall is a Mexican film producer and director known for his work in contemporary Mexican cinema, including collaborations on acclaimed genre films.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7986c0df88190b29d71db5538450a completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3aa146b148190a87205e542cc718f completed April 18, 2026, 3:58 p.m.
Created at: April 8, 2026, 9:26 p.m.