Triple

T20900821
Position Surface form Disambiguated ID Type / Status
Subject All-Star Superman (film) E514662 entity
Predicate featuresVoiceActor P39669 FINISHED
Object James Denton 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: James Denton | Statement: [All-Star Superman (film), featuresVoiceActor, James Denton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Denton
Context triple: [All-Star Superman (film), featuresVoiceActor, James Denton]
  • A. James Denton chosen
    James Denton is an American actor best known for playing plumber Mike Delfino on the television series "Desperate Housewives."
  • B. Lucas Reiner
    Lucas Reiner is an American painter, photographer, and filmmaker known for his contemplative urban and nature-themed artworks and for being part of the creative Reiner family.
  • C. Thomas Burstyn
    Thomas Burstyn is a cinematographer known for his work on films such as "Toy Soldiers" and various other feature and television projects.
  • D. Jonathan Dancy
    Jonathan Dancy is a British moral philosopher best known for his work on moral particularism and contributions to contemporary ethical theory.
  • E. Michael Rapaport
    Michael Rapaport is an American actor and comedian known for his prolific character roles in film and television, as well as his outspoken, humorous public persona.
  • 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_69e6e8fa5228819084341dbc813cc1e3 completed April 21, 2026, 3:03 a.m.
Created at: April 16, 2026, 12:47 p.m.