Triple

T13517292
Position Surface form Disambiguated ID Type / Status
Subject Scott Hicks E322795 entity
Predicate directed P7373 FINISHED
Object The Lucky One E486666 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 Lucky One | Statement: [Scott Hicks, directed, The Lucky One]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Lucky One
Context triple: [Scott Hicks, directed, The Lucky One]
  • A. The Lucky One chosen
    The Lucky One is a romantic drama film based on a Nicholas Sparks novel, following a U.S. Marine who seeks out a woman he believes was his good-luck charm during the war.
  • B. The Lucky Ones
    The Lucky Ones is a 2008 American road drama film that follows three U.S. soldiers on an unexpected cross-country journey after returning home from the Iraq War.
  • C. The Lucky Chance
    The Lucky Chance is a Restoration comedy play by Aphra Behn that satirizes marriage, gender roles, and sexual politics in late 17th-century England.
  • D. The Luckiest
    "The Luckiest" is a tender piano ballad by singer-songwriter Ben Folds, celebrated for its heartfelt lyrics about love, fate, and lifelong companionship.
  • E. Lucky You
    Lucky You is a 2007 romantic drama film set in the high-stakes world of professional poker in Las Vegas, starring Eric Bana and Drew Barrymore.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa27f048190bed33a98e28c8d09 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75496496c819093a9e763d293bcf7 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:44 p.m.