Triple

T5741623
Position Surface form Disambiguated ID Type / Status
Subject DC League of Super-Pets E126626 entity
Predicate voiceCastMember P9616 FINISHED
Object Marc Maron E152451 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: Marc Maron | Statement: [DC League of Super-Pets, voiceCastMember, Marc Maron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Maron
Context triple: [DC League of Super-Pets, voiceCastMember, Marc Maron]
  • A. Marc Maron chosen
    Marc Maron is an American stand-up comedian, actor, and podcaster best known for his influential podcast "WTF with Marc Maron" and his roles in television and film.
  • B. Patton Oswalt
    Patton Oswalt is an American stand-up comedian, actor, and writer known for his sharp observational humor and roles in film and television, including voicing Remy in Pixar's "Ratatouille."
  • C. Paul F. Tompkins
    Paul F. Tompkins is an American comedian, actor, and writer known for his stand-up, podcast appearances, and character roles in television and film.
  • D. Rob Corddry
    Rob Corddry is an American actor and comedian best known for his work on "The Daily Show" and in films like "Hot Tub Time Machine."
  • E. Michael Irby
    Michael Irby is an American actor known for his roles in television series such as "Barry," "The Unit," and "Mayans M.C."
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0258382908190af8787feb1e5fbcd completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e1bfe4481908740aa20d55ec8f6 completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.