Triple

T4804949
Position Surface form Disambiguated ID Type / Status
Subject Anna Netrebko E106924 entity
Predicate notableWork P4 FINISHED
Object La Bohème E293839 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: La Bohème | Statement: [Anna Netrebko, notableWork, La Bohème]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Bohème
Context triple: [Anna Netrebko, notableWork, La Bohème]
  • A. La Bohème
    La Bohème is a 1926 silent romantic drama film directed by King Vidor, adapted from Henri Murger’s "Scènes de la vie de bohème" and best known for its tragic love story set among struggling artists in Paris.
  • B. La Bohème chosen
    La Bohème is a renowned Italian opera in four acts that poignantly portrays the lives and loves of struggling artists in 19th-century Paris.
  • C. Ma Bohème
    Ma Bohème is a lyrical poem by Arthur Rimbaud that reflects his youthful wanderings, bohemian lifestyle, and visionary approach to poetry.
  • D. Bohème
    Bohème is a Montblanc luxury collection known for its elegant, feminine design in fine writing instruments, watches, and accessories.
  • E. Madama Butterfly
    Madama Butterfly is a tragic opera set in Japan that tells the story of a young geisha betrayed by her American husband, renowned for its lyrical beauty and emotional intensity.
  • 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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c664c3c81908e4d9a7c8c19744b completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4403ef888190b41c9a0db6bf47aa completed March 21, 2026, 7:08 a.m.
Created at: March 20, 2026, 1:23 p.m.