Triple

T8515405
Position Surface form Disambiguated ID Type / Status
Subject Joe Pantoliano E201559 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: [Joe Pantoliano, notableWork, Bound]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bound
Context triple: [Joe Pantoliano, 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. 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."
  • C. 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.
  • D. Boundless
    Boundless is a British television production company known for creating factual and entertainment programming following the rebranding of Talkback Thames.
  • E. Ties That Bind
    Ties That Bind is a Ghanaian drama film that explores the intertwined lives and emotional struggles of three women connected by loss and motherhood.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60f37b0819082ae14e539f57b56 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e5dbb3c81909157e6b04a4956af completed April 2, 2026, 11:09 a.m.
Created at: March 30, 2026, 6:15 p.m.