Triple

T19998581
Position Surface form Disambiguated ID Type / Status
Subject Goran Bregović E494258 entity
Predicate notableWork P4 FINISHED
Object Underground (film score) NE NERFINISHED

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: Underground (film score) | Statement: [Goran Bregović, notableWork, Underground (film score)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Underground (film score)
Context triple: [Goran Bregović, notableWork, Underground (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. Under the Skin (film score)
    Under the Skin (film score) is an experimental, atmospheric soundtrack by composer Mica Levi, acclaimed for its unsettling minimalist textures that powerfully shape the mood of the 2013 science-fiction film "Under the Skin."
  • C. The Abyss (film score)
    The Abyss (film score) is a science-fiction film soundtrack composed by Alan Silvestri, noted for its atmospheric orchestration and blend of suspenseful and ethereal themes.
  • D. Urban Legend (film score)
    Urban Legend (film score) is a suspenseful horror film soundtrack composed by Christopher Young, known for its dark, atmospheric orchestration that heightens the slasher film’s tension and mystery.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Underground (film score)
Target entity description: Underground (film score) is a celebrated film soundtrack by composer Goran Bregović, blending Balkan folk, brass band music, and rock elements into a distinctive, energetic soundscape.
  • 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. Under the Skin (film score)
    Under the Skin (film score) is an experimental, atmospheric soundtrack by composer Mica Levi, acclaimed for its unsettling minimalist textures that powerfully shape the mood of the 2013 science-fiction film "Under the Skin."
  • C. The Abyss (film score)
    The Abyss (film score) is a science-fiction film soundtrack composed by Alan Silvestri, noted for its atmospheric orchestration and blend of suspenseful and ethereal themes.
  • D. Urban Legend (film score)
    Urban Legend (film score) is a suspenseful horror film soundtrack composed by Christopher Young, known for its dark, atmospheric orchestration that heightens the slasher film’s tension and mystery.
  • E. 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.
  • F. None of above. chosen

Provenance (2 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe6827481909469129feb9aad91 completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:32 p.m.