Triple

T5271082
Position Surface form Disambiguated ID Type / Status
Subject Victor Young E119258 entity
Predicate workedOn P3 FINISHED
Object For Whom the Bell Tolls (1943 film score)
For Whom the Bell Tolls (1943 film score) is the orchestral musical soundtrack composed for the 1943 film adaptation of Ernest Hemingway’s novel about an American fighting in the Spanish Civil War.
E508764 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: For Whom the Bell Tolls (1943 film score) | Statement: [Victor Young, workedOn, For Whom the Bell Tolls (1943 film score)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: For Whom the Bell Tolls (1943 film score)
Context triple: [Victor Young, workedOn, For Whom the Bell Tolls (1943 film score)]
  • A. Il Gattopardo (The Leopard) (film score)
    Il Gattopardo (The Leopard) (film score) is Nino Rota’s lush, romantic orchestral soundtrack for Luchino Visconti’s 1963 historical drama about a Sicilian prince during the Risorgimento.
  • B. The Quiet American (film score)
    The Quiet American (film score) is a contemplative and atmospheric film soundtrack by composer Craig Armstrong for the 2002 adaptation of Graham Greene’s novel, blending orchestral and Southeast Asian musical elements.
  • C. Days of Heaven (score)
    Days of Heaven (score) is Ennio Morricone’s acclaimed, lyrical film soundtrack known for its haunting melodies and evocative atmosphere in Terrence Malick’s 1978 drama.
  • D. 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.
  • E. Citizen Kane (1941 film) score
    The score for the 1941 film "Citizen Kane" is a groundbreaking orchestral soundtrack by Bernard Herrmann, renowned for its innovative use of leitmotifs and atmospheric orchestration that helped redefine film 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: For Whom the Bell Tolls (1943 film score)
Triple: [Victor Young, workedOn, For Whom the Bell Tolls (1943 film score)]
Generated description
For Whom the Bell Tolls (1943 film score) is the orchestral musical soundtrack composed for the 1943 film adaptation of Ernest Hemingway’s novel about an American fighting in the Spanish Civil War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: For Whom the Bell Tolls (1943 film score)
Target entity description: For Whom the Bell Tolls (1943 film score) is the orchestral musical soundtrack composed for the 1943 film adaptation of Ernest Hemingway’s novel about an American fighting in the Spanish Civil War.
  • A. Il Gattopardo (The Leopard) (film score)
    Il Gattopardo (The Leopard) (film score) is Nino Rota’s lush, romantic orchestral soundtrack for Luchino Visconti’s 1963 historical drama about a Sicilian prince during the Risorgimento.
  • B. The Quiet American (film score)
    The Quiet American (film score) is a contemplative and atmospheric film soundtrack by composer Craig Armstrong for the 2002 adaptation of Graham Greene’s novel, blending orchestral and Southeast Asian musical elements.
  • C. Days of Heaven (score)
    Days of Heaven (score) is Ennio Morricone’s acclaimed, lyrical film soundtrack known for its haunting melodies and evocative atmosphere in Terrence Malick’s 1978 drama.
  • D. 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.
  • E. Citizen Kane (1941 film) score
    The score for the 1941 film "Citizen Kane" is a groundbreaking orchestral soundtrack by Bernard Herrmann, renowned for its innovative use of leitmotifs and atmospheric orchestration that helped redefine film 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_69bd446c38e081908cdaf113bdf86790 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7c1fa01081909d589686289b624b completed March 20, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06cb5f788190b9ee79ca15da9d58 completed March 21, 2026, 8:59 p.m.
NEDg Description generation batch_69bf08e009788190ae74e25f35ccf100 completed March 21, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69bf0979c11c8190bc5c3957d098d8d5 completed March 21, 2026, 9:11 p.m.
Created at: March 20, 2026, 1:51 p.m.