Triple

T11172150
Position Surface form Disambiguated ID Type / Status
Subject The Wolverine E264300 entity
Predicate musicBy P1952 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: [The Wolverine, musicBy, Marco Beltrami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marco Beltrami
Context triple: [The Wolverine, musicBy, 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. Elliot Goldenthal
    Elliot Goldenthal is an American composer known for his innovative, often experimental film scores for movies such as "Interview with the Vampire," "Batman Forever," and "Frida."
  • C. 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."
  • D. 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."
  • E. 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.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e89660208190b1d9e91529f5d246 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4acf79b748190b117355f60c8c015 completed April 19, 2026, 10:22 a.m.
Created at: April 8, 2026, 9:29 p.m.