Triple

T10124310
Position Surface form Disambiguated ID Type / Status
Subject To Live and Die in L.A. E226173 entity
Predicate cinematographer P1953 FINISHED
Object Robby Müller E127500 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: Robby Müller | Statement: [To Live and Die in L.A., cinematographer, Robby Müller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robby Müller
Context triple: [To Live and Die in L.A., cinematographer, Robby Müller]
  • A. Robby Müller chosen
    Robby Müller was a renowned Dutch cinematographer celebrated for his innovative, naturalistic visual style in films by directors such as Wim Wenders and Jim Jarmusch.
  • B. Bart Freundlich
    Bart Freundlich is an American film director, screenwriter, and producer known for independent dramas and for his long-term collaboration and marriage with actress Julianne Moore.
  • C. Paul Kroitor
    Paul Kroitor is the child of renowned Canadian filmmaker and IMAX co-founder Roman Kroitor.
  • D. Randal Kleiser
    Randal Kleiser is an American film director best known for directing the hit musical "Grease" (1978) and other popular films of the late 20th century.
  • E. Stephen Kroitor
    Stephen Kroitor is a Canadian individual best known as the son of pioneering filmmaker and IMAX co-founder Roman Kroitor.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd2ebe4548190a484c145639d92f0 completed April 2, 2026, 2:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5c29f6c8190b347a6963ca46dac completed April 5, 2026, 10:44 p.m.
Created at: March 30, 2026, 9:05 p.m.