Triple

T15909312
Position Surface form Disambiguated ID Type / Status
Subject Daniel Franzese E385803 entity
Predicate appearedIn P795 FINISHED
Object The Comeback E365690 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: The Comeback | Statement: [Daniel Franzese, appearedIn, The Comeback]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Comeback
Context triple: [Daniel Franzese, appearedIn, 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 an early Drake mixtape that helped establish his career by showcasing his introspective lyricism and melodic rap style.
  • E. Captain Comeback
    Captain Comeback is the famous nickname of Hall of Fame Dallas Cowboys quarterback Roger Staubach, renowned for leading dramatic late-game comebacks in the NFL.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1565d2f048190a40379ceae00411a completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb055307081908a13c98a0e16780c completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:52 a.m.