Triple

T13384831
Position Surface form Disambiguated ID Type / Status
Subject The Expendables (film score) E319411 entity
Predicate hasComposerPreviousWork P109711 FINISHED
Object Fast & Furious (film score) E321599 NE FINISHED

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: Fast & Furious (film score) | Statement: [The Expendables (film score), hasComposerPreviousWork, Fast & Furious (film score)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fast & Furious (film score)
Context triple: [The Expendables (film score), hasComposerPreviousWork, Fast & Furious (film score)]
  • A. Fast & Furious (2009 film score) chosen
    Fast & Furious (2009 film score) is an action-packed orchestral soundtrack composed by Brian Tyler for the fourth installment of the Fast & Furious film franchise.
  • B. Fast & Furious (soundtrack contributions)
    Fast & Furious (soundtrack contributions) refers to Don Omar’s popular reggaeton and Latin urban tracks featured across the Fast & Furious film series, which significantly boosted his international fame.
  • C. Furious 7 (film score)
    Furious 7 (film score) is the high-energy orchestral and electronic soundtrack composed by Brian Tyler for the 2015 action film "Furious 7," known for its intense, adrenaline-fueled themes that complement the movie’s high-octane sequences.
  • D. Need for Speed (film score)
    Need for Speed (film score) is the high-energy, electronic-orchestral soundtrack composed by Tom Holkenborg (Junkie XL) for the 2014 action film adaptation of the racing video game series.
  • E. Mad Max: Fury Road (film score)
    Mad Max: Fury Road (film score) is the high-octane, percussion-heavy soundtrack composed by Tom Holkenborg (Junkie XL) for the 2015 post-apocalyptic action film Mad Max: Fury Road.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasComposerPreviousWork
Context triple: [The Expendables (film score), hasComposerPreviousWork, Fast & Furious (film score)]
  • A. precededByInComposerWork
    Indicates that one element in a composer's work occurs earlier in the sequence than another element within the same composition.
  • B. followedByInComposerWork
    Indicates that one element in a composer's work directly succeeds another in sequence within that same composition.
  • C. hasCreatedWorksFor
    Indicates that one entity has produced or created works (such as art, documents, or products) on behalf of or for the benefit of another entity.
  • D. hasComposerInResidence
    Indicates that an organization or institution has officially appointed a specific composer to serve in a resident or ongoing compositional role.
  • E. hasCatalogedWorkOn
    Indicates that an entity has formally recorded, listed, or documented another entity as a work within a catalog or collection.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce96d1881909957fdd068a7f55d completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7268f9a908190843481dd313f5a11 completed May 3, 2026, 10:42 a.m.
PD Predicate disambiguation batch_69d9a03189908190a784a2755f8d81e1 completed April 11, 2026, 1:13 a.m.
PDg Predicate description generation batch_69dadcce5a808190847f2a7833b67a5a completed April 11, 2026, 11:44 p.m.
Created at: April 9, 2026, 9:33 p.m.