Triple

T10245780
Position Surface form Disambiguated ID Type / Status
Subject George S. Clinton E240207 entity
Predicate notableWork P4 FINISHED
Object Bury My Heart at Wounded Knee (TV film score)
Bury My Heart at Wounded Knee (TV film score) is a dramatic orchestral soundtrack composed by George S. Clinton for the HBO historical film about the U.S. government's treatment of Native Americans in the late 19th century.
 E853900 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: Bury My Heart at Wounded Knee (TV film score) | Statement: [George S. Clinton, notableWork, Bury My Heart at Wounded Knee (TV film score)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bury My Heart at Wounded Knee (TV film score)
Context triple: [George S. Clinton, notableWork, Bury My Heart at Wounded Knee (TV film score)]
  • A. Dances with Wolves (score contributions)
    Dances with Wolves (score contributions) refers to Peter Buffett’s work composing and contributing music to the acclaimed film score of the 1990 Western epic "Dances with Wolves."
  • B. Brokeback Mountain (film score)
    Brokeback Mountain (film score) is a minimalist, guitar-driven film soundtrack by Gustavo Santaolalla that won widespread acclaim for its haunting, emotionally resonant themes.
  • C. Once Upon a Time in the West (score)
    Once Upon a Time in the West (score) is Ennio Morricone’s iconic, lyrically haunting film soundtrack for Sergio Leone’s 1968 Spaghetti Western, renowned for its evocative themes and innovative use of leitmotifs.
  • D. The Thin Red Line (1998 film) score
    The Thin Red Line (1998 film) score is a contemplative, minimalist war film soundtrack by Hans Zimmer, noted for its haunting themes, use of recurring motifs, and emotional depth.
  • E. We Were Soldiers (film score)
    We Were Soldiers (film score) is the orchestral soundtrack composed by Nick Glennie-Smith for the 2002 war film "We Were Soldiers," noted for its emotional and patriotic themes.
  • 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: Bury My Heart at Wounded Knee (TV film score)
Triple: [George S. Clinton, notableWork, Bury My Heart at Wounded Knee (TV film score)]
Generated description
Bury My Heart at Wounded Knee (TV film score) is a dramatic orchestral soundtrack composed by George S. Clinton for the HBO historical film about the U.S. government's treatment of Native Americans in the late 19th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bury My Heart at Wounded Knee (TV film score)
Target entity description: Bury My Heart at Wounded Knee (TV film score) is a dramatic orchestral soundtrack composed by George S. Clinton for the HBO historical film about the U.S. government's treatment of Native Americans in the late 19th century.
  • A. Dances with Wolves (score contributions)
    Dances with Wolves (score contributions) refers to Peter Buffett’s work composing and contributing music to the acclaimed film score of the 1990 Western epic "Dances with Wolves."
  • B. Brokeback Mountain (film score)
    Brokeback Mountain (film score) is a minimalist, guitar-driven film soundtrack by Gustavo Santaolalla that won widespread acclaim for its haunting, emotionally resonant themes.
  • C. Once Upon a Time in the West (score)
    Once Upon a Time in the West (score) is Ennio Morricone’s iconic, lyrically haunting film soundtrack for Sergio Leone’s 1968 Spaghetti Western, renowned for its evocative themes and innovative use of leitmotifs.
  • D. The Thin Red Line (1998 film) score
    The Thin Red Line (1998 film) score is a contemplative, minimalist war film soundtrack by Hans Zimmer, noted for its haunting themes, use of recurring motifs, and emotional depth.
  • E. We Were Soldiers (film score)
    We Were Soldiers (film score) is the orchestral soundtrack composed by Nick Glennie-Smith for the 2002 war film "We Were Soldiers," noted for its emotional and patriotic themes.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d22cfe1c8190afae178e11a59b8b completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7a597188190880200d13784f18f completed April 9, 2026, 12:49 a.m.
NEDg Description generation batch_69d6fcab0bfc8190b47bc165ef3eb15d completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d70fc3b15081908d1b67a7094c6210 completed April 9, 2026, 2:32 a.m.
Created at: April 6, 2026, 11:26 a.m.