Triple

T8869735
Position Surface form Disambiguated ID Type / Status
Subject Nathan Johnson E211121 entity
Predicate notableWork P4 FINISHED
Object Looper (film score)
Looper (film score) is the experimental, percussion-driven soundtrack composed by Nathan Johnson for the 2012 science fiction film "Looper," noted for its use of found sounds and unconventional recording techniques.
 E763061 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: Looper (film score) | Statement: [Nathan Johnson, notableWork, Looper (film score)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Looper (film score)
Context triple: [Nathan Johnson, notableWork, Looper (film score)]
  • A. Up (film score)
    Up (film score) is the acclaimed orchestral soundtrack to Pixar's animated film "Up," known for its emotionally resonant themes and Academy Award–winning music composed by Michael Giacchino.
  • B. The Walk (film score)
    The Walk (film score) is a cinematic orchestral soundtrack composed by Alan Silvestri for the 2015 biographical drama film "The Walk," enhancing the tension and emotional arc of Philippe Petit's high-wire feat.
  • C. Déjà Vu (film score)
    Déjà Vu (film score) is the atmospheric and suspenseful musical soundtrack composed by Harry Gregson-Williams for the 2006 science fiction thriller film "Déjà Vu."
  • D. Unstoppable (film score)
    Unstoppable (film score) is an action-thriller soundtrack composed by Harry Gregson-Williams for the 2010 runaway train film "Unstoppable," blending tense orchestral writing with modern electronic elements.
  • E. Blade Runner 2049 score
    The Blade Runner 2049 score is the atmospheric, synth-driven film soundtrack co-composed by Benjamin Wallfisch and Hans Zimmer for Denis Villeneuve’s 2017 science fiction sequel, noted for its immersive, futuristic soundscapes that echo and expand on Vangelis’s original Blade Runner music.
  • 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: Looper (film score)
Triple: [Nathan Johnson, notableWork, Looper (film score)]
Generated description
Looper (film score) is the experimental, percussion-driven soundtrack composed by Nathan Johnson for the 2012 science fiction film "Looper," noted for its use of found sounds and unconventional recording techniques.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Looper (film score)
Target entity description: Looper (film score) is the experimental, percussion-driven soundtrack composed by Nathan Johnson for the 2012 science fiction film "Looper," noted for its use of found sounds and unconventional recording techniques.
  • A. Up (film score)
    Up (film score) is the acclaimed orchestral soundtrack to Pixar's animated film "Up," known for its emotionally resonant themes and Academy Award–winning music composed by Michael Giacchino.
  • B. The Walk (film score)
    The Walk (film score) is a cinematic orchestral soundtrack composed by Alan Silvestri for the 2015 biographical drama film "The Walk," enhancing the tension and emotional arc of Philippe Petit's high-wire feat.
  • C. Déjà Vu (film score)
    Déjà Vu (film score) is the atmospheric and suspenseful musical soundtrack composed by Harry Gregson-Williams for the 2006 science fiction thriller film "Déjà Vu."
  • D. Unstoppable (film score)
    Unstoppable (film score) is an action-thriller soundtrack composed by Harry Gregson-Williams for the 2010 runaway train film "Unstoppable," blending tense orchestral writing with modern electronic elements.
  • E. Blade Runner 2049 score
    The Blade Runner 2049 score is the atmospheric, synth-driven film soundtrack co-composed by Benjamin Wallfisch and Hans Zimmer for Denis Villeneuve’s 2017 science fiction sequel, noted for its immersive, futuristic soundscapes that echo and expand on Vangelis’s original Blade Runner music.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61257a548190955ad71f4c8704d5 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0e247c88190a97c00ce20f9c1c1 completed April 3, 2026, 11:13 a.m.
NEDg Description generation batch_69cfa1fb68c0819088cfe57441c75087 completed April 3, 2026, 11:18 a.m.
NED2 Entity disambiguation (via description) batch_69cfa26ab1b881909e42a435f4e3333c completed April 3, 2026, 11:20 a.m.
Created at: March 30, 2026, 6:51 p.m.