Triple

T23553022
Position Surface form Disambiguated ID Type / Status
Subject Million Dollar Mermaid E578101 entity
Predicate musicBy P1952 FINISHED
Object Johnny Green NE NERFINISHED

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: Johnny Green | Statement: [Million Dollar Mermaid, musicBy, Johnny Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnny Green
Context triple: [Million Dollar Mermaid, musicBy, Johnny Green]
  • A. Johnny Green chosen
    Johnny Green was an American composer, arranger, and conductor best known for writing jazz and popular standards and for his influential work in Hollywood film music.
  • B. Johnny Green
    Johnny Green is a family member of American television actress Liza Snyder.
  • C. Milton Ager
    Milton Ager was an American songwriter and composer best known for his popular standards of the early 20th century, many of which became enduring hits of the Tin Pan Alley era.
  • D. Sammy Fain
    Sammy Fain was an American composer best known for writing popular standards and film songs, including several classic Disney and Hollywood melodies.
  • E. Jimmy Van Heusen
    Jimmy Van Heusen was an American composer and songwriter renowned for his prolific work in film and popular music, including numerous standards written for Frank Sinatra and multiple Academy Award–winning songs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245fa93448190919cb04534560542 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1aed096b08190a8a755eaa7663fba completed April 29, 2026, 7:10 a.m.
Created at: April 17, 2026, 6:11 p.m.