Triple

T22596006
Position Surface form Disambiguated ID Type / Status
Subject Lucky (2017 film) E574682 entity
Predicate starring P1507 FINISHED
Object Ed Begley Jr. 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: Ed Begley Jr. | Statement: [Lucky (2017 film), starring, Ed Begley Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ed Begley Jr.
Context triple: [Lucky (2017 film), starring, Ed Begley Jr.]
  • A. Ed Begley Jr. chosen
    Ed Begley Jr. is an American actor known for his prolific film and television career and his prominent environmental activism.
  • B. Ed Begley
    Ed Begley was an American character actor and Academy Award winner known for his prolific film, television, and stage work in the mid-20th century.
  • C. Ben Cahoon
    Ben Cahoon is a former Canadian Football League slotback widely regarded as one of the most reliable and productive receivers in Montreal Alouettes history.
  • D. Timothy Busfield
    Timothy Busfield is an American actor and director best known for his roles in television series such as "thirtysomething," "The West Wing," and various film and stage productions.
  • E. Alan Ruck
    Alan Ruck is an American actor best known for his roles as Cameron Frye in "Ferris Bueller's Day Off" and Connor Roy in the television series "Succession."
  • 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.