Triple

T17399648
Position Surface form Disambiguated ID Type / Status
Subject Mike & Molly E423052 entity
Predicate executiveProducer P7225 FINISHED
Object Mark Roberts 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: Mark Roberts | Statement: [Mike & Molly, executiveProducer, Mark Roberts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Roberts
Context triple: [Mike & Molly, executiveProducer, Mark Roberts]
  • A. Mark Roberts chosen
    Mark Roberts is an American television writer and producer best known for creating the CBS sitcom "Mike & Molly."
  • B. Ian Roberts
    Ian Roberts is a South African actor best known for his roles in film, television, and stage productions, often portraying rugged or authoritative characters.
  • C. Ian Roberts
    Ian Roberts is an American comedian, writer, and actor best known as a founding member of the Upright Citizens Brigade and a producer and writer on various sketch comedy projects.
  • D. Jason Roberts
    Jason Roberts is an independent game designer best known for creating the critically acclaimed puzzle game Gorogoa.
  • E. Jeremy Roberts
    Jeremy Roberts is an American character actor known for supporting roles in films and television, including a notable appearance in the science-fiction thriller "The Thirteenth Floor."
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43ac0596481908c400916d5c1b971 completed April 19, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:45 a.m.