Triple

T22526557
Position Surface form Disambiguated ID Type / Status
Subject Doctor Zhivago (film score) E556919 entity
Predicate follows P134 FINISHED
Object Lawrence of Arabia (film score) NE NERFINISHED

How this triple was built (3 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: Lawrence of Arabia (film score) | Statement: [Doctor Zhivago (film score), follows, Lawrence of Arabia (film score)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lawrence of Arabia (film score)
Context triple: [Doctor Zhivago (film score), follows, Lawrence of Arabia (film score)]
  • A. Atonement (film score)
    Atonement (film score) is an acclaimed orchestral soundtrack by composer Dario Marianelli, noted for its innovative use of typewriter sounds and its emotionally rich, period-evocative themes.
  • B. The Man Who Shot the Albatross (film) score
    The Man Who Shot the Albatross (film) score is a musical soundtrack composed by Australian composer George Dreyfus for the film of the same name.
  • C. Captain Abu Raed (film score)
    Captain Abu Raed (film score) is a cinematic orchestral soundtrack composed by Austin Wintory for the Jordanian drama film "Captain Abu Raed," blending emotive themes with Middle Eastern influences.
  • D. Oppenheimer (film score)
    Oppenheimer (film score) is the original musical soundtrack composed by Ludwig Göransson for Christopher Nolan’s 2023 biographical thriller about J. Robert Oppenheimer and the creation of the atomic bomb.
  • E. We Were Soldiers (film score)
    We Were Soldiers (film score) is the orchestral soundtrack composed by Nick Glennie-Smith for the 2002 war film "We Were Soldiers," noted for its emotional and patriotic themes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lawrence of Arabia (film score)
Target entity description: Lawrence of Arabia (film score) is Maurice Jarre’s iconic orchestral soundtrack for David Lean’s 1962 epic film, renowned for its sweeping main theme and evocative desert motifs.
  • A. Atonement (film score)
    Atonement (film score) is an acclaimed orchestral soundtrack by composer Dario Marianelli, noted for its innovative use of typewriter sounds and its emotionally rich, period-evocative themes.
  • B. The Man Who Shot the Albatross (film) score
    The Man Who Shot the Albatross (film) score is a musical soundtrack composed by Australian composer George Dreyfus for the film of the same name.
  • C. Captain Abu Raed (film score)
    Captain Abu Raed (film score) is a cinematic orchestral soundtrack composed by Austin Wintory for the Jordanian drama film "Captain Abu Raed," blending emotive themes with Middle Eastern influences.
  • D. Oppenheimer (film score)
    Oppenheimer (film score) is the original musical soundtrack composed by Ludwig Göransson for Christopher Nolan’s 2023 biographical thriller about J. Robert Oppenheimer and the creation of the atomic bomb.
  • E. We Were Soldiers (film score)
    We Were Soldiers (film score) is the orchestral soundtrack composed by Nick Glennie-Smith for the 2002 war film "We Were Soldiers," noted for its emotional and patriotic themes.
  • F. None of above. chosen

Provenance (2 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ed352b48190a96ef2896f2978cd completed April 29, 2026, 1:28 a.m.
Created at: April 16, 2026, 8:51 p.m.