Triple

T18126052
Position Surface form Disambiguated ID Type / Status
Subject David Rappaport E433877 entity
Predicate name P16 FINISHED
Object David Rappaport 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: David Rappaport | Statement: [David Rappaport, name, David Rappaport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Rappaport
Context triple: [David Rappaport, name, David Rappaport]
  • A. David Rappaport chosen
    David Rappaport was a British actor best known for his roles in fantasy and science-fiction films and television series during the late 20th century.
  • B. Daniel Rappaport
    Daniel Rappaport is a film producer known for working on mainstream Hollywood comedies, including the movie "Office Christmas Party."
  • C. Aaron Rapaport
    Aaron Rapaport is a fictional television producer and best friend of talk-show host Dave Skylark in the 2014 comedy film "The Interview."
  • D. Jonathan Toubin
    Jonathan Toubin is an American DJ, music promoter, and former musician best known for his influential New York Night Train soul and rock ’n’ roll dance parties.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddee1efc8190b04324b98de5c9d0 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:29 a.m.