Triple

T2215946
Position Surface form Disambiguated ID Type / Status
Subject Craig Armstrong E48032 entity
Predicate notableWork P4 FINISHED
Object The Quiet American (film score)
The Quiet American (film score) is a contemplative and atmospheric film soundtrack by composer Craig Armstrong for the 2002 adaptation of Graham Greene’s novel, blending orchestral and Southeast Asian musical elements.
E244267 NE FINISHED

How this triple was built (4 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: The Quiet American (film score) | Statement: [Craig Armstrong, notableWork, The Quiet American (film score)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Quiet American (film score)
Context triple: [Craig Armstrong, notableWork, The Quiet American (film score)]
  • A. The Thin Red Line (1998 film) score
    The Thin Red Line (1998 film) score is a contemplative, minimalist war film soundtrack by Hans Zimmer, noted for its haunting themes, use of recurring motifs, and emotional depth.
  • B. The Right Stuff (film) score
    The Right Stuff (film) score is Bill Conti’s acclaimed orchestral soundtrack for the 1983 space-race drama, noted for its heroic themes and sweeping, patriotic tone.
  • C. The Heiress (film score)
    The Heiress (film score) is Aaron Copland’s acclaimed 1949 orchestral soundtrack for the film adaptation of Henry James’s "Washington Square," noted for its emotionally nuanced, romantic yet modernist style.
  • D. L.A. Confidential (1997 film score)
    L.A. Confidential (1997 film score) is a neo-noir orchestral soundtrack by composer Jerry Goldsmith, acclaimed for its atmospheric blend of jazz-inflected themes and tense, dramatic scoring that complements the film’s dark, 1950s Los Angeles setting.
  • E. Forrest Gump (film score)
    Forrest Gump (film score) is the orchestral soundtrack composed by Alan Silvestri, renowned for its emotive themes that underscore the film’s sweeping, nostalgic narrative.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Quiet American (film score)
Triple: [Craig Armstrong, notableWork, The Quiet American (film score)]
Generated description
The Quiet American (film score) is a contemplative and atmospheric film soundtrack by composer Craig Armstrong for the 2002 adaptation of Graham Greene’s novel, blending orchestral and Southeast Asian musical elements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Quiet American (film score)
Target entity description: The Quiet American (film score) is a contemplative and atmospheric film soundtrack by composer Craig Armstrong for the 2002 adaptation of Graham Greene’s novel, blending orchestral and Southeast Asian musical elements.
  • A. The Thin Red Line (1998 film) score
    The Thin Red Line (1998 film) score is a contemplative, minimalist war film soundtrack by Hans Zimmer, noted for its haunting themes, use of recurring motifs, and emotional depth.
  • B. The Right Stuff (film) score
    The Right Stuff (film) score is Bill Conti’s acclaimed orchestral soundtrack for the 1983 space-race drama, noted for its heroic themes and sweeping, patriotic tone.
  • C. The Heiress (film score)
    The Heiress (film score) is Aaron Copland’s acclaimed 1949 orchestral soundtrack for the film adaptation of Henry James’s "Washington Square," noted for its emotionally nuanced, romantic yet modernist style.
  • D. L.A. Confidential (1997 film score)
    L.A. Confidential (1997 film score) is a neo-noir orchestral soundtrack by composer Jerry Goldsmith, acclaimed for its atmospheric blend of jazz-inflected themes and tense, dramatic scoring that complements the film’s dark, 1950s Los Angeles setting.
  • E. Forrest Gump (film score)
    Forrest Gump (film score) is the orchestral soundtrack composed by Alan Silvestri, renowned for its emotive themes that underscore the film’s sweeping, nostalgic narrative.
  • F. None of above. chosen

Provenance (5 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbff11574819091d1b50d637ae767 completed March 7, 2026, 6:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae65571b9481908f992cee85ee59eb completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae66411d848190a529018ad3765597 completed March 9, 2026, 6:18 a.m.
NED2 Entity disambiguation (via description) batch_69ae66a8cd9881908df2873e6159f293 completed March 9, 2026, 6:20 a.m.
Created at: March 4, 2026, 7:46 p.m.