Triple

T19771827
Position Surface form Disambiguated ID Type / Status
Subject Kevin Pollak's Misery Loves Comedy E474904 entity
Predicate hasCastMember P2308 FINISHED
Object Bill Maher 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: Bill Maher | Statement: [Kevin Pollak's Misery Loves Comedy, hasCastMember, Bill Maher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Maher
Context triple: [Kevin Pollak's Misery Loves Comedy, hasCastMember, Bill Maher]
  • A. Bill Maher chosen
    Bill Maher is an American comedian, political commentator, and television host known for his satirical takes on religion and politics, particularly through his show "Real Time with Bill Maher."
  • B. Michael Maher
    Michael Maher is a film producer known for his work on the movie "Passengers."
  • C. Sean Maher
    Sean Maher is an American actor best known for playing Dr. Simon Tam in the television series "Firefly" and its film continuation "Serenity."
  • D. Mike Maher
    Mike Maher is an American jazz trumpeter and composer best known as a member of the genre-blending ensemble Snarky Puppy.
  • E. Stephen Colbert
    Stephen Colbert is an American comedian, writer, producer, political satirist, and television host best known for his work on "The Colbert Report" and "The Late Show with Stephen Colbert."
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6535ce4d08190a1dfca2df95a8631 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:48 p.m.