Triple

T3597098
Position Surface form Disambiguated ID Type / Status
Subject Harold Prince E76164 entity
Predicate workedWith P398 FINISHED
Object Tim Rice E49827 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: Tim Rice | Statement: [Harold Prince, workedWith, Tim Rice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Rice
Context triple: [Harold Prince, workedWith, Tim Rice]
  • A. Tim Rice chosen
    Tim Rice is an acclaimed English lyricist best known for his work on hit stage and film musicals such as "Jesus Christ Superstar," "Evita," "The Lion King," and "Aladdin."
  • B. Bernie Taupin
    Bernie Taupin is an English lyricist best known for his long-running songwriting partnership with Elton John, for whom he wrote the lyrics to many of the singer’s most famous hits.
  • C. Andrew Lloyd Webber
    Andrew Lloyd Webber is a renowned British composer and impresario of musical theatre, best known for creating hit shows such as "The Phantom of the Opera," "Cats," and "Evita."
  • D. Howard Blake
    Howard Blake is a British composer best known for his film scores and concert works, including the music for the animated classic "The Snowman."
  • E. Henry Krieger
    Henry Krieger is an American composer best known for his work on Broadway musicals, particularly the hit show "Dreamgirls."
  • 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc19c71608190a87c98214321214c completed March 8, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b403130cf081909bb90800d7dc2d6f completed March 13, 2026, 12:29 p.m.
Created at: March 8, 2026, 3:22 p.m.