Triple

T2350940
Position Surface form Disambiguated ID Type / Status
Subject Red Eye E47445 entity
Predicate composer P1361 FINISHED
Object Marco Beltrami E156037 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: Marco Beltrami | Statement: [Red Eye, composer, Marco Beltrami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marco Beltrami
Context triple: [Red Eye, composer, Marco Beltrami]
  • A. Marco Beltrami chosen
    Marco Beltrami is an American film composer renowned for his suspenseful and innovative scores for horror and action films.
  • B. Mychael Danna
    Mychael Danna is a Canadian film composer renowned for his evocative, often world-music-infused scores, including his Academy Award–winning work on "Life of Pi."
  • C. John Ottman
    John Ottman is an American film editor and composer best known for his long-time collaboration with director Bryan Singer on films such as "The Usual Suspects," the "X-Men" series, and "Superman Returns."
  • D. Ramin Djawadi
    Ramin Djawadi is a German-Iranian composer best known for his powerful, cinematic scores for film and television, including Game of Thrones, Westworld, and major blockbuster movies.
  • E. Thomas Newman
    Thomas Newman is an acclaimed American film composer known for his distinctive, atmospheric scores for movies such as "American Beauty," "The Shawshank Redemption," and "Skyfall."
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6f75d888190a2e41edaa532e83f completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae962f769881909a7713880eaa9b84 completed March 9, 2026, 9:43 a.m.
Created at: March 4, 2026, 7:54 p.m.