Triple

T22079349
Position Surface form Disambiguated ID Type / Status
Subject Steve Zissis E545604 entity
Predicate castMemberOf P7010 FINISHED
Object The Comeback 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: The Comeback | Statement: [Steve Zissis, castMemberOf, The Comeback]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Comeback
Context triple: [Steve Zissis, castMemberOf, The Comeback]
  • A. The Comeback chosen
    The Comeback is an American comedy-drama television series that satirizes reality TV and Hollywood through the story of a fading sitcom actress attempting to revive her career.
  • B. The Comeback
    The Comeback is a nonfiction book by A. J. Baime that chronicles a pivotal, against-the-odds resurgence in American automotive and industrial history.
  • C. Comeback
    "Comeback" is a pop song by the Jonas Brothers from their 2019 reunion album "Happiness Begins."
  • D. Comeback Season
    Comeback Season is a 2006 romantic comedy-drama film about a disgraced businessman who teams up with a young football star to win back their respective loves.
  • E. Comeback Season
    Comeback Season is an early Drake mixtape that helped establish his career by showcasing his introspective lyricism and melodic rap style.
  • 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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128b43df0819090c248ded98fad12 completed April 28, 2026, 9:37 p.m.
Created at: April 16, 2026, 8:28 p.m.