Triple

T13486468
Position Surface form Disambiguated ID Type / Status
Subject Saving Silverman E318516 entity
Predicate screenwriter P2831 FINISHED
Object Greg DePaul E583954 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: Greg DePaul | Statement: [Saving Silverman, screenwriter, Greg DePaul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg DePaul
Context triple: [Saving Silverman, screenwriter, Greg DePaul]
  • A. Greg DePaul chosen
    Greg DePaul is an American screenwriter and playwright best known for co-writing the romantic comedy film "Bride Wars."
  • B. Marcus T. Paulk
    Marcus T. Paulk is an American actor and rapper best known for his role as Myles Mitchell on the television sitcom "Moesha."
  • C. Bill DeRonde
    Bill DeRonde is a film editor best known for his work on the cult action film "The Boondock Saints."
  • D. Darren Lemke
    Darren Lemke is an American screenwriter and film producer known for working on fantasy and adventure films such as Jack the Giant Slayer and the Goosebumps movie adaptation.
  • E. Phil DeGuere
    Phil DeGuere was an American television producer, writer, and director best known for his work on series such as Simon & Simon and the 1980s revival of The Twilight Zone.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3a15b48190b63fb59e926a97ae completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bad771881908280e3d96be068fc completed May 8, 2026, 3:42 a.m.
Created at: April 9, 2026, 9:42 p.m.