Triple

T20901141
Position Surface form Disambiguated ID Type / Status
Subject Suicide Squad: Hell to Pay E514668 entity
Predicate voiceActor P1507 FINISHED
Object Greg Grunberg 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: Greg Grunberg | Statement: [Suicide Squad: Hell to Pay, voiceActor, Greg Grunberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Grunberg
Context triple: [Suicide Squad: Hell to Pay, voiceActor, Greg Grunberg]
  • A. Greg Grunberg chosen
    Greg Grunberg is an American actor best known for his roles in television series such as "Heroes," "Alias," and "Felicity," as well as appearances in major film franchises.
  • B. Rob Golenberg
    Rob Golenberg is a television producer and executive known for his work on high-profile drama series, including serving as an executive producer on "Your Honor."
  • C. Mark Gruner
    Mark Gruner is an American former child actor best known for his role in the 1978 thriller film "Jaws 2."
  • D. Garth Drabinsky
    Garth Drabinsky is a Canadian theatrical producer and former film executive best known for staging large-scale Broadway and international productions, including the musical "Ragtime."
  • E. Guy Nattiv
    Guy Nattiv is an Israeli filmmaker and screenwriter known for his socially conscious dramas, including the Oscar-winning short film "Skin" and its feature-length adaptation.
  • 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_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e8fc5d488190b62f51c35e768d38 completed April 21, 2026, 3:03 a.m.
Created at: April 16, 2026, 12:47 p.m.