Triple

T6258511
Position Surface form Disambiguated ID Type / Status
Subject Verna Fields E140234 entity
Predicate spouse P13 FINISHED
Object Sam Fields E140234 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: Sam Fields | Statement: [Verna Fields, spouse, Sam Fields]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Fields
Context triple: [Verna Fields, spouse, Sam Fields]
  • A. Sam Fields chosen
    Sam Fields is known primarily as the husband of acclaimed American film editor Verna Fields.
  • B. Harold Gould
    Harold Gould was an American character actor best known for his prolific work in film and television from the 1960s through the 1990s, including memorable roles in projects like "The Sting" and the TV series "The Golden Girls."
  • C. Blake Perlman
    Blake Perlman is an American actress and singer known for roles in film and television, including appearances in projects associated with her father, actor Ron Perlman.
  • D. Stephen Root
    Stephen Root is an American character actor and voice actor known for his versatile roles in film, television, and animation, including work in projects like "Office Space," "King of the Hill," and "Barry."
  • E. Lionel Stander
    Lionel Stander was an American character actor known for his distinctive gravelly voice and memorable supporting roles in classic Hollywood films and later television.
  • 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_69c008c95c5c819084bd3dd56133d84d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06367e0b48190967ebfb9bfbc9732 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603ee891481909f640f54b70f9d60 completed March 27, 2026, 4:13 a.m.
Created at: March 22, 2026, 4:24 p.m.