Triple

T12869601
Position Surface form Disambiguated ID Type / Status
Subject Bart Freundlich E307811 entity
Predicate directed P7373 FINISHED
Object The Rebound E1007763 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 Rebound | Statement: [Bart Freundlich, directed, The Rebound]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Rebound
Context triple: [Bart Freundlich, directed, The Rebound]
  • A. The Rebound chosen
    The Rebound is a 2009 romantic comedy film starring Catherine Zeta-Jones and Justin Bartha about an unexpected relationship between a newly divorced mother and her younger babysitter.
  • B. Rebound
    Rebound is a 2005 sports comedy film starring Martin Lawrence as a disgraced college basketball coach who must redeem himself by leading a misfit middle school team.
  • C. Rebound Ace
    Rebound Ace is a cushioned hardcourt tennis surface formerly used at the Australian Open before being superseded by Plexicushion.
  • D. 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.
  • E. The Comeback
    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.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708f510c8190b4c64dc340420e85 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a55161a881908d767653c17d3acc completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:38 p.m.