Triple

T8291411
Position Surface form Disambiguated ID Type / Status
Subject To Each His Own E193905 entity
Predicate starring P1507 FINISHED
Object John Lund E26204 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: John Lund | Statement: [To Each His Own, starring, John Lund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Lund
Context triple: [To Each His Own, starring, 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. Dick Lundy
    Dick Lundy was an American animator and director best known for his influential work at Walt Disney Studios, where he helped shape the personality and style of classic characters like Donald Duck.
  • E. Willam Christensen
    Willam Christensen was an influential American ballet dancer, choreographer, and director best known for helping establish professional ballet in the United States, including shaping the early artistic direction of the San Francisco Ballet.
  • 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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7c9b65e0819083ddc82fb7c4a5f3 completed March 31, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68916c5481908c42f259298b0670 completed April 1, 2026, 6:48 p.m.
Created at: March 30, 2026, 5:52 p.m.