Triple

T3545604
Position Surface form Disambiguated ID Type / Status
Subject John Powell E74988 entity
Predicate notableWork P4 FINISHED
Object How to Train Your Dragon (film score)
How to Train Your Dragon (film score) is an acclaimed orchestral soundtrack by composer John Powell, celebrated for its sweeping themes and emotionally rich musical storytelling in the animated fantasy film.
 E367446 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: How to Train Your Dragon (film score) | Statement: [John Powell, notableWork, How to Train Your Dragon (film score)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: How to Train Your Dragon (film score)
Context triple: [John Powell, notableWork, How to Train Your Dragon (film score)]
  • A. Thor (2011 film) score
    The "Thor" (2011) film score is a symphonic, thematically rich orchestral soundtrack composed by Patrick Doyle for the Marvel superhero movie, blending heroic motifs with Norse-inspired elements.
  • B. The Croods (film score)
    The Croods (film score) is the orchestral soundtrack composed by Alan Silvestri for DreamWorks Animation’s prehistoric family adventure film "The Croods."
  • C. Beowulf (2007 film score)
    Beowulf (2007 film score) is a cinematic orchestral soundtrack composed by Alan Silvestri for the motion-capture fantasy film adaptation of the Old English epic poem.
  • D. The Land Before Time (film score)
    The Land Before Time (film score) is an orchestral soundtrack composed by James Horner for the 1988 animated adventure film, noted for its sweeping, emotional themes that underscore the movie’s prehistoric setting and coming-of-age story.
  • E. Avatar (film score)
    Avatar (film score) is James Horner’s expansive orchestral and choral soundtrack for the 2009 science fiction film "Avatar," blending traditional symphonic elements with ethnic and electronic textures to evoke the alien world of Pandora.
  • 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: How to Train Your Dragon (film score)
Triple: [John Powell, notableWork, How to Train Your Dragon (film score)]
Generated description
How to Train Your Dragon (film score) is an acclaimed orchestral soundtrack by composer John Powell, celebrated for its sweeping themes and emotionally rich musical storytelling in the animated fantasy film.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: How to Train Your Dragon (film score)
Target entity description: How to Train Your Dragon (film score) is an acclaimed orchestral soundtrack by composer John Powell, celebrated for its sweeping themes and emotionally rich musical storytelling in the animated fantasy film.
  • A. Thor (2011 film) score
    The "Thor" (2011) film score is a symphonic, thematically rich orchestral soundtrack composed by Patrick Doyle for the Marvel superhero movie, blending heroic motifs with Norse-inspired elements.
  • B. The Croods (film score)
    The Croods (film score) is the orchestral soundtrack composed by Alan Silvestri for DreamWorks Animation’s prehistoric family adventure film "The Croods."
  • C. Beowulf (2007 film score)
    Beowulf (2007 film score) is a cinematic orchestral soundtrack composed by Alan Silvestri for the motion-capture fantasy film adaptation of the Old English epic poem.
  • D. The Land Before Time (film score)
    The Land Before Time (film score) is an orchestral soundtrack composed by James Horner for the 1988 animated adventure film, noted for its sweeping, emotional themes that underscore the movie’s prehistoric setting and coming-of-age story.
  • E. Avatar (film score)
    Avatar (film score) is James Horner’s expansive orchestral and choral soundtrack for the 2009 science fiction film "Avatar," blending traditional symphonic elements with ethnic and electronic textures to evoke the alien world of Pandora.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf77d938819095c72a88b5af644a completed March 8, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38be29b408190a8dba8c8ae2485a4 completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38c6dbfcc8190897d0c12e8ce4416 completed March 13, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_69b38cf9d8188190adb91671d062a6f9 completed March 13, 2026, 4:05 a.m.
Created at: March 8, 2026, 3:20 p.m.