Triple

T12877176
Position Surface form Disambiguated ID Type / Status
Subject Gina Gershon E307998 entity
Predicate notableWork P4 FINISHED
Object Bound E307999 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: Bound | Statement: [Gina Gershon, notableWork, Bound]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bound
Context triple: [Gina Gershon, notableWork, Bound]
  • A. Bound chosen
    Bound is a 1996 neo-noir crime thriller film known for its stylish direction, lesbian romance, and intricate heist plot, directed by the Wachowskis and starring Gina Gershon and Jennifer Tilly.
  • B. On the Bound
    On the Bound is a song by American singer-songwriter Fiona Apple from her album "When the Pawn...".
  • C. The Ties That Bind
    "The Ties That Bind" is a song by Bruce Springsteen, best known as the opening track of his 1980 album "The River."
  • D. The Tie That Binds
    The Tie That Binds is a novel by American author Eleanor H. Porter, best known for her classic children's book Pollyanna.
  • E. binding
    Binding is a central concept in generative syntax that explains how pronouns and other noun phrases can or cannot refer to each other within sentence structure.
  • 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_69d970fa8474819086a8af3c90f3ca84 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb83bac8190838f7537b806317c completed May 3, 2026, 12:50 a.m.
Created at: April 9, 2026, 5:38 p.m.