Triple

T8239838
Position Surface form Disambiguated ID Type / Status
Subject Alex North E192506 entity
Predicate notableWork P4 FINISHED
Object A Streetcar Named Desire (film score)
A Streetcar Named Desire (film score) is Alex North’s groundbreaking jazz-influenced orchestral soundtrack for the 1951 film adaptation of Tennessee Williams’ play, widely regarded as a landmark in modern film music.
 E720995 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: A Streetcar Named Desire (film score) | Statement: [Alex North, notableWork, A Streetcar Named Desire (film score)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A Streetcar Named Desire (film score)
Context triple: [Alex North, notableWork, A Streetcar Named Desire (film score)]
  • A. Paris, Texas (film score)
    Paris, Texas is a haunting, slide-guitar-driven film score by Ry Cooder, acclaimed for its sparse, atmospheric sound that powerfully underscores Wim Wenders’ 1984 road movie.
  • B. 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.
  • C. The Heiress (film score)
    The Heiress (film score) is Aaron Copland’s acclaimed 1949 orchestral soundtrack for the film adaptation of Henry James’s "Washington Square," noted for its emotionally nuanced, romantic yet modernist style.
  • D. Memphis Belle (film score)
    Memphis Belle (film score) is the orchestral soundtrack composed by George Fenton for the 1990 World War II film "Memphis Belle," noted for its stirring, period-evocative music.
  • E. Serpico (film score)
    Serpico (film score) is the musical soundtrack composed by Mikis Theodorakis for the 1973 crime drama film "Serpico," noted for its tense, atmospheric themes that underscore the movie’s gritty realism.
  • 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: A Streetcar Named Desire (film score)
Triple: [Alex North, notableWork, A Streetcar Named Desire (film score)]
Generated description
A Streetcar Named Desire (film score) is Alex North’s groundbreaking jazz-influenced orchestral soundtrack for the 1951 film adaptation of Tennessee Williams’ play, widely regarded as a landmark in modern film music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A Streetcar Named Desire (film score)
Target entity description: A Streetcar Named Desire (film score) is Alex North’s groundbreaking jazz-influenced orchestral soundtrack for the 1951 film adaptation of Tennessee Williams’ play, widely regarded as a landmark in modern film music.
  • A. Paris, Texas (film score)
    Paris, Texas is a haunting, slide-guitar-driven film score by Ry Cooder, acclaimed for its sparse, atmospheric sound that powerfully underscores Wim Wenders’ 1984 road movie.
  • B. 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.
  • C. The Heiress (film score)
    The Heiress (film score) is Aaron Copland’s acclaimed 1949 orchestral soundtrack for the film adaptation of Henry James’s "Washington Square," noted for its emotionally nuanced, romantic yet modernist style.
  • D. Memphis Belle (film score)
    Memphis Belle (film score) is the orchestral soundtrack composed by George Fenton for the 1990 World War II film "Memphis Belle," noted for its stirring, period-evocative music.
  • E. Serpico (film score)
    Serpico (film score) is the musical soundtrack composed by Mikis Theodorakis for the 1973 crime drama film "Serpico," noted for its tense, atmospheric themes that underscore the movie’s gritty realism.
  • 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_69ca82dc8f148190a2c75a98501a7b91 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb783cce5c8190bf116704d2923ade completed March 31, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd350f57d48190ae2f24d136bb3eee completed April 1, 2026, 3:09 p.m.
NEDg Description generation batch_69cd37a47f3c81909491e9b0316c32f0 completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4ecc8d68819099932b1ecefc0d36 completed April 1, 2026, 4:58 p.m.
Created at: March 30, 2026, 5:47 p.m.