Triple

T21176704
Position Surface form Disambiguated ID Type / Status
Subject Joe Masteroff E521831 entity
Predicate name P16 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: [Joe Masteroff, name, Joe Masteroff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Masteroff
Context triple: [Joe Masteroff, name, 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e730197cfc8190bde13453b761886b completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 3 p.m.