Triple

T1207930
Position Surface form Disambiguated ID Type / Status
Subject Javert E25931 entity
Predicate appearsIn P795 FINISHED
Object Les Misérables E25485 NE FINISHED

How this triple was built (2 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 | Statement: [Javert, appearsIn, Les Misérables]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Misérables
Context triple: [Javert, appearsIn, Les Misérables]
  • A. Les Misérables chosen
    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. 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.
  • C. Moulin Rouge
    Moulin Rouge is a famous Parisian cabaret known for its iconic red windmill, lavish shows, and role in popularizing the modern can-can dance.
  • D. Fifty Million Frenchmen
    Fifty Million Frenchmen is a 1929 Broadway musical comedy with music and lyrics by Cole Porter, known for its witty songs and Parisian setting.
  • E. Hugo
    Hugo is a masculine given name of Germanic origin, commonly used in various European and Spanish-speaking countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bde18d208190848c189b2b8d585f completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f419b8c8190ac7642b9b4108df8 completed March 7, 2026, 7:40 p.m.
Created at: March 1, 2026, 7:46 p.m.