Triple

T22596005
Position Surface form Disambiguated ID Type / Status
Subject Lucky (2017 film) E574682 entity
Predicate starring P1507 FINISHED
Object Ron Livingston NE NERFINISHED

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: Ron Livingston | Statement: [Lucky (2017 film), starring, Ron Livingston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ron Livingston
Context triple: [Lucky (2017 film), starring, Ron Livingston]
  • A. Ron Livingston chosen
    Ron Livingston is an American actor best known for his roles in the cult film "Office Space," the miniseries "Band of Brothers," and various film and television dramas and comedies.
  • B. Brian Patrick Clarke
    Brian Patrick Clarke is an American actor known for his work in television series and films, particularly during the 1970s and 1980s.
  • C. Dermot Mulroney
    Dermot Mulroney is an American actor known for his versatile film and television roles, including prominent performances in romantic comedies and dramas since the late 1980s.
  • D. Jonathan Dancy
    Jonathan Dancy is a British moral philosopher best known for his work on moral particularism and contributions to contemporary ethical theory.
  • E. Peter Sarsgaard
    Peter Sarsgaard is an American actor known for his nuanced supporting and character roles in films such as "Shattered Glass," "An Education," and "Jarhead."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f16268cb54819084a0f27ec0473f35 completed April 29, 2026, 1:44 a.m.
Created at: April 17, 2026, 2:50 p.m.