Triple

T14539996
Position Surface form Disambiguated ID Type / Status
Subject Bye Bye Birdie E341142 entity
Predicate bookBy P2353 FINISHED
Object Michael Stewart E475564 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: Michael Stewart | Statement: [Bye Bye Birdie, bookBy, Michael Stewart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Stewart
Context triple: [Bye Bye Birdie, bookBy, Michael Stewart]
  • A. Michael Stewart chosen
    Michael Stewart was an American playwright and lyricist best known for writing the books and lyrics for hit Broadway musicals such as "Hello, Dolly!", "Bye Bye Birdie," and "Barnum."
  • B. Michael Stewart
    Michael Stewart was a record producer best known for his work on Billy Joel’s breakthrough album "Piano Man."
  • C. Michael Elliot
    Michael Elliot is an American screenwriter best known for his work on romantic comedies and inspirational sports films, including the Queen Latifah–starring movie "Just Wright."
  • D. Kevin Stevens
    Kevin Stevens is a former American NHL power forward best known for his high-scoring seasons with the Pittsburgh Penguins in the early 1990s.
  • E. Michael Blodgett
    Michael Blodgett was an American actor, screenwriter, and producer known for his work in film and television from the late 1960s onward.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1bd0dd4819094c8b2f2aa6b1c5e completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a5cca788190aa8762d860c78721 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.