Triple

T2172784
Position Surface form Disambiguated ID Type / Status
Subject Bonnie and Clyde E48461 entity
Predicate musicBy P1952 FINISHED
Object Charles Strouse E176068 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: Charles Strouse | Statement: [Bonnie and Clyde, musicBy, Charles Strouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Strouse
Context triple: [Bonnie and Clyde, musicBy, Charles Strouse]
  • A. Charles Strouse chosen
    Charles Strouse is an American composer best known for his Broadway musical scores, including the music for "Annie," "Bye Bye Birdie," and "Applause."
  • B. Mack David
    Mack David was an American lyricist and songwriter known for his popular song adaptations and contributions to film and television music.
  • C. Jule Styne
    Jule Styne was a prolific American composer best known for his Broadway and film musical scores, including classics like "Gypsy" and "Funny Girl."
  • D. Jerry Herman
    Jerry Herman was an American composer and lyricist best known for his hit Broadway musicals, including Hello, Dolly! and Mame.
  • E. Marc Shaiman
    Marc Shaiman is an American composer, lyricist, and arranger best known for his work on film scores and Broadway musicals, including the music for "Mary Poppins Returns."
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbec98a648190907ef4c6cad916d3 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d9c61448190930777bcf2028882 completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:45 p.m.