Triple

T18354666
Position Surface form Disambiguated ID Type / Status
Subject A Foreign Affair E439757 entity
Predicate castMember P1668 FINISHED
Object John Lund 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: John Lund | Statement: [A Foreign Affair, castMember, John Lund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Lund
Context triple: [A Foreign Affair, castMember, John Lund]
  • A. John Lund chosen
    John Lund was an American film actor active in the 1940s and 1950s, known for his leading and supporting roles in Hollywood comedies and dramas.
  • B. Larry Lund
    Larry Lund is a former professional ice hockey player best known for his standout career in the World Hockey Association, particularly with the Houston Aeros.
  • C. Larry Bryggman
    Larry Bryggman is an American actor best known for his long-running role on the soap opera "As the World Turns" and various film and television appearances.
  • D. Lloyd Hansen
    Lloyd Hansen is the ruthless and unhinged former CIA operative who serves as the primary villain in the action thriller film "The Gray Man."
  • E. John Sundahl
    John Sundahl is known primarily as the husband of Wyoming politician Harriet Hageman.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e516d458148190849ed28fa90eb92b completed April 19, 2026, 5:54 p.m.
Created at: April 10, 2026, 10:37 a.m.