Triple

T21041921
Position Surface form Disambiguated ID Type / Status
Subject The Emcee E518346 entity
Predicate createdBy P806 FINISHED
Object Joe Masteroff 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: Joe Masteroff | Statement: [The Emcee, createdBy, Joe Masteroff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Masteroff
Context triple: [The Emcee, createdBy, Joe Masteroff]
  • A. Joe Masteroff chosen
    Joe Masteroff was an American playwright and librettist best known for writing the book for the musical "Cabaret."
  • B. Howard Ratner
    Howard Ratner is a fast-talking, compulsive New York City jeweler and gambling addict whose risky schemes drive the intense, chaotic plot of the film *Uncut Gems*.
  • C. Joel Rosenman
    Joel Rosenman is an American lawyer, entrepreneur, and music producer best known as one of the principal backers and co-creators of the 1969 Woodstock music festival.
  • D. Robert Kravis
    Robert Kravis is a film producer best known for his work on the crime thriller "Lucky Number Slevin."
  • E. Wolf Mankowitz
    Wolf Mankowitz was a British novelist, playwright, and screenwriter known for his work on films such as the 1967 James Bond spoof "Casino Royale" and for his influential postwar literary portrayals of East End London.
  • 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcf0b27881909d1c5b58be387a74 completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:15 p.m.