Triple

T8121733
Position Surface form Disambiguated ID Type / Status
Subject Angela Gheorghiu E189625 entity
Predicate notableWork P4 FINISHED
Object Madama Butterfly (Cio-Cio-San) E293840 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: Madama Butterfly (Cio-Cio-San) | Statement: [Angela Gheorghiu, notableWork, Madama Butterfly (Cio-Cio-San)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madama Butterfly (Cio-Cio-San)
Context triple: [Angela Gheorghiu, notableWork, Madama Butterfly (Cio-Cio-San)]
  • A. Cio-Cio San
    Cio-Cio San is the tragic Japanese geisha heroine of Giacomo Puccini’s opera "Madama Butterfly."
  • B. Madama Butterfly chosen
    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.
  • C. Shigeko
    Shigeko is a Japanese feminine given name that has been borne by various notable women, including members of the imperial family.
  • D. Ono no Komachi
    Ono no Komachi was a renowned 9th-century Japanese waka poet celebrated for her passionate verse and legendary beauty, and is counted among the Rokkasen and Thirty-Six Immortals of Poetry.
  • E. Yoshiko
    Yoshiko is a feminine Japanese given name commonly used across various generations and often associated with traditional Japanese culture.
  • 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_69ca82bb74848190afb1f18640632c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb435b72888190ad6330b375ed1eff completed March 31, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc9454ccb48190b0f894bed5da8a01 completed April 1, 2026, 3:43 a.m.
Created at: March 30, 2026, 5:33 p.m.