Triple

T4138743
Position Surface form Disambiguated ID Type / Status
Subject Mission: Impossible – Dead Reckoning Part One E89220 entity
Predicate composer P1361 FINISHED
Object Lorne Balfe E13895 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: Lorne Balfe | Statement: [Mission: Impossible – Dead Reckoning Part One, composer, Lorne Balfe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorne Balfe
Context triple: [Mission: Impossible – Dead Reckoning Part One, composer, Lorne Balfe]
  • A. Lorne Balfe chosen
    Lorne Balfe is a Scottish composer and producer known for his work on major film, television, and video game scores, often in the action and blockbuster genres.
  • B. Dario Marianelli
    Dario Marianelli is an Italian film composer known for his evocative scores for movies such as Atonement, Pride & Prejudice, and Darkest Hour.
  • C. Daniel Pemberton
    Daniel Pemberton is a British composer known for his innovative and eclectic film scores across major Hollywood and independent productions.
  • D. Richard Shepherd
    Richard Shepherd was an American film producer best known for his work on classic movies such as "Breakfast at Tiffany's."
  • E. Patrick Doyle
    Patrick Doyle is a Scottish film composer renowned for his scores for major movies including romantic comedies like "Bridget Jones’s Diary" and numerous Shakespeare adaptations.
  • 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_69aed95785788190ae75bcf0cd1cafdf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02485a788190ba6ee769e663b2d3 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f2bb38c819090884069688063d2 completed March 14, 2026, 3:30 p.m.
Created at: March 9, 2026, 3:43 p.m.