Triple

T1235685
Position Surface form Disambiguated ID Type / Status
Subject Grammy Award for Best Musical Theater Album E26541 entity
Predicate notableWinner P2766 FINISHED
Object Les Misérables (Original Broadway Cast Recording)
Les Misérables (Original Broadway Cast Recording) is the acclaimed album capturing the performances of the original Broadway cast of the hit musical adaptation of Victor Hugo’s novel.
 E143926 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: Les Misérables (Original Broadway Cast Recording) | Statement: [Grammy Award for Best Musical Theater Album, notableWinner, Les Misérables (Original Broadway Cast Recording)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Les Misérables (Original Broadway Cast Recording)
Context triple: [Grammy Award for Best Musical Theater Album, notableWinner, Les Misérables (Original Broadway Cast Recording)]
  • A. Les Misérables
    Les Misérables is a 2012 epic musical drama film adaptation of the famed Victor Hugo novel and stage musical, known for its sweeping story of injustice and redemption in 19th-century France.
  • B. West Side Story
    West Side Story is a landmark American musical that reimagines Romeo and Juliet amid rival New York City street gangs, known for its innovative score, choreography, and social themes.
  • C. “Stars” (Les Misérables musical)
    “Stars” is a powerful solo ballad from the musical Les Misérables in which Inspector Javert reveals his rigid belief in law, order, and divine justice.
  • D. Les Misérables (1998 film)
    Les Misérables (1998 film) is a dramatic adaptation of Victor Hugo’s classic novel, featuring Geoffrey Rush alongside Liam Neeson and Uma Thurman in a story of redemption, justice, and social injustice in 19th-century France.
  • E. Bohemian Rhapsody
    Bohemian Rhapsody is a 2018 biographical drama film about the rock band Queen and its lead singer Freddie Mercury, charting their rise to fame and the creation of their iconic 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: Les Misérables (Original Broadway Cast Recording)
Triple: [Grammy Award for Best Musical Theater Album, notableWinner, Les Misérables (Original Broadway Cast Recording)]
Generated description
Les Misérables (Original Broadway Cast Recording) is the acclaimed album capturing the performances of the original Broadway cast of the hit musical adaptation of Victor Hugo’s novel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Les Misérables (Original Broadway Cast Recording)
Target entity description: Les Misérables (Original Broadway Cast Recording) is the acclaimed album capturing the performances of the original Broadway cast of the hit musical adaptation of Victor Hugo’s novel.
  • A. Les Misérables
    Les Misérables is a 2012 epic musical drama film adaptation of the famed Victor Hugo novel and stage musical, known for its sweeping story of injustice and redemption in 19th-century France.
  • B. West Side Story
    West Side Story is a landmark American musical that reimagines Romeo and Juliet amid rival New York City street gangs, known for its innovative score, choreography, and social themes.
  • C. “Stars” (Les Misérables musical)
    “Stars” is a powerful solo ballad from the musical Les Misérables in which Inspector Javert reveals his rigid belief in law, order, and divine justice.
  • D. Les Misérables (1998 film)
    Les Misérables (1998 film) is a dramatic adaptation of Victor Hugo’s classic novel, featuring Geoffrey Rush alongside Liam Neeson and Uma Thurman in a story of redemption, justice, and social injustice in 19th-century France.
  • E. Bohemian Rhapsody
    Bohemian Rhapsody is a 2018 biographical drama film about the rock band Queen and its lead singer Freddie Mercury, charting their rise to fame and the creation of their iconic 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf169868819090cfab7e34c40c67 completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93bf346081908a36a25b6616009a completed March 7, 2026, 9:08 p.m.
NEDg Description generation batch_69ac943de3f0819085dff5ef12f01766 completed March 7, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69ac95c05ab081909db602d7bea73bf4 completed March 7, 2026, 9:16 p.m.
Created at: March 1, 2026, 7:47 p.m.