Triple

T13839306
Position Surface form Disambiguated ID Type / Status
Subject Holiday Rush E332612 entity
Predicate director P255 FINISHED
Object Leslie Small E889266 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: Leslie Small | Statement: [Holiday Rush, director, Leslie Small]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leslie Small
Context triple: [Holiday Rush, director, Leslie Small]
  • A. Leslie Small chosen
    Leslie Small is an American film and television director best known for helming numerous stand-up comedy specials, including several for comedian Kevin Hart.
  • B. Leslie Frost
    Leslie Frost was a Canadian politician who served as the 16th Premier of Ontario from 1949 to 1961.
  • C. Leslie Hunter
    Leslie Hunter is one of the central young adult characters in the 1985 coming-of-age film "St. Elmo's Fire," navigating post-college relationships and personal ambitions.
  • D. Leslie Harter
    Leslie Harter is a film producer known for her work in Hollywood and for being married to director Robert Zemeckis.
  • E. Leslie Osborne
    Leslie Osborne is a former American professional soccer midfielder and U.S. women’s national team player who starred at Santa Clara University and later became a prominent figure in the NWSL and soccer broadcasting.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02ac6b7c81908d44632d6d628339 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8f630d081909439e1cdc5d60430 completed May 3, 2026, 9:07 p.m.
Created at: April 9, 2026, 10:13 p.m.