Triple

T10322477
Position Surface form Disambiguated ID Type / Status
Subject Warren Ellis E242668 entity
Predicate notableWork P4 FINISHED
Object The Road (film score)
The Road (film score) is a somber, minimalist soundtrack composed by Warren Ellis (with frequent collaborator Nick Cave) for the 2009 film adaptation of Cormac McCarthy’s post-apocalyptic novel, noted for its haunting and emotional atmosphere.
 E855309 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: The Road (film score) | Statement: [Warren Ellis, notableWork, The Road (film score)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Road (film score)
Context triple: [Warren Ellis, notableWork, The Road (film score)]
  • A. A Thousand Roads (film score)
    A Thousand Roads is a film score composed by Australian musician and vocalist Lisa Gerrard, known for its atmospheric, ethereal soundscapes blending world music influences and cinematic orchestration.
  • B. On the Road (film score)
    On the Road (film score) is a film soundtrack composed by Argentine musician Gustavo Santaolalla, known for its atmospheric, folk-infused themes that accompany the adaptation of Jack Kerouac’s classic novel.
  • C. Road to Perdition (film score)
    Road to Perdition (film score) is a moody, orchestral soundtrack by composer Thomas Newman, noted for its atmospheric blend of melancholy themes and subtle, jazz-inflected textures that complement the film’s somber, period crime drama.
  • D. Revolutionary Road (film score)
    Revolutionary Road (film score) is a poignant, orchestral film soundtrack composed by Thomas Newman for the 2008 drama "Revolutionary Road," noted for its minimalist themes and emotional intensity.
  • E. La strada (film score)
    La strada (film score) is Nino Rota’s acclaimed musical soundtrack to Federico Fellini’s 1954 film, noted for its lyrical themes and emotional depth.
  • 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: The Road (film score)
Triple: [Warren Ellis, notableWork, The Road (film score)]
Generated description
The Road (film score) is a somber, minimalist soundtrack composed by Warren Ellis (with frequent collaborator Nick Cave) for the 2009 film adaptation of Cormac McCarthy’s post-apocalyptic novel, noted for its haunting and emotional atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Road (film score)
Target entity description: The Road (film score) is a somber, minimalist soundtrack composed by Warren Ellis (with frequent collaborator Nick Cave) for the 2009 film adaptation of Cormac McCarthy’s post-apocalyptic novel, noted for its haunting and emotional atmosphere.
  • A. A Thousand Roads (film score)
    A Thousand Roads is a film score composed by Australian musician and vocalist Lisa Gerrard, known for its atmospheric, ethereal soundscapes blending world music influences and cinematic orchestration.
  • B. On the Road (film score)
    On the Road (film score) is a film soundtrack composed by Argentine musician Gustavo Santaolalla, known for its atmospheric, folk-infused themes that accompany the adaptation of Jack Kerouac’s classic novel.
  • C. Road to Perdition (film score)
    Road to Perdition (film score) is a moody, orchestral soundtrack by composer Thomas Newman, noted for its atmospheric blend of melancholy themes and subtle, jazz-inflected textures that complement the film’s somber, period crime drama.
  • D. Revolutionary Road (film score)
    Revolutionary Road (film score) is a poignant, orchestral film soundtrack composed by Thomas Newman for the 2008 drama "Revolutionary Road," noted for its minimalist themes and emotional intensity.
  • E. La strada (film score)
    La strada (film score) is Nino Rota’s acclaimed musical soundtrack to Federico Fellini’s 1954 film, noted for its lyrical themes and emotional depth.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6cdb6cc8190b37ca4494287128b completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d9b2ad881909f3076f8f9d1b1d3 completed April 9, 2026, 3:31 a.m.
NEDg Description generation batch_69d731887d2081908e6b4e33d400582f completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d7329189708190bbd21bd40ec029b0 completed April 9, 2026, 5:01 a.m.
Created at: April 6, 2026, 11:50 a.m.