Triple

T22839945
Position Surface form Disambiguated ID Type / Status
Subject Inside Out (film score) E566052 entity
Predicate composerOf P1142 FINISHED
Object Riled Up
"Riled Up" is a track from Michael Giacchino’s emotionally driven score for the animated film Inside Out, reflecting the movie’s dynamic and expressive musical style.
 E1556562 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: Riled Up | Statement: [Inside Out (film score), composerOf, Riled Up]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Riled Up
Context triple: [Inside Out (film score), composerOf, Riled Up]
  • A. Up in Arms
    Up in Arms is a 1944 musical comedy film starring Danny Kaye in his feature-film debut, showcasing his rapid-fire comedic style and musical talents.
  • B. Up in Arms
    "Up in Arms" is a song by American rock band Foo Fighters from their 1997 album "The Colour and the Shape."
  • C. Lit Up
    "Lit Up" is a song by the American rock band Alligator.
  • D. Uproar
    "Uproar" is a popular 2018 hip-hop single by Lil Wayne, known for its energetic beat, viral dance challenge, and prominent use of a classic G Herbo/DMX-style sample.
  • E. All the Rage
    All the Rage is a short story collection by Scottish writer A. L. Kennedy that explores complex emotional lives and relationships with her characteristic dark humor and psychological insight.
  • 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: Riled Up
Triple: [Inside Out (film score), composerOf, Riled Up]
Generated description
"Riled Up" is a track from Michael Giacchino’s emotionally driven score for the animated film Inside Out, reflecting the movie’s dynamic and expressive musical style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Riled Up
Target entity description: "Riled Up" is a track from Michael Giacchino’s emotionally driven score for the animated film Inside Out, reflecting the movie’s dynamic and expressive musical style.
  • A. Up in Arms
    Up in Arms is a 1944 musical comedy film starring Danny Kaye in his feature-film debut, showcasing his rapid-fire comedic style and musical talents.
  • B. Up in Arms
    "Up in Arms" is a song by American rock band Foo Fighters from their 1997 album "The Colour and the Shape."
  • C. Lit Up
    "Lit Up" is a song by the American rock band Alligator.
  • D. Uproar
    "Uproar" is a popular 2018 hip-hop single by Lil Wayne, known for its energetic beat, viral dance challenge, and prominent use of a classic G Herbo/DMX-style sample.
  • E. All the Rage
    All the Rage is a short story collection by Scottish writer A. L. Kennedy that explores complex emotional lives and relationships with her characteristic dark humor and psychological insight.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e8325948190a3b63f2cd0371373 completed April 29, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ba7b3aae48190bb2785a223d135a2 completed May 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a0ba8bb77bc81909c5422f9d73c1e70 completed May 19, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0ba94752c48190a8892cac5ef862b2 completed May 19, 2026, 12:05 a.m.
Created at: April 17, 2026, 3:35 p.m.