Triple

T14067374
Position Surface form Disambiguated ID Type / Status
Subject Phyllis Coates E338509 entity
Predicate spouse P13 FINISHED
Object Richard L. Bare E851272 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: Richard L. Bare | Statement: [Phyllis Coates, spouse, Richard L. Bare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard L. Bare
Context triple: [Phyllis Coates, spouse, Richard L. Bare]
  • A. Richard L. Bare chosen
    Richard L. Bare was an American film and television director best known for his work on classic series such as The Twilight Zone and Green Acres.
  • B. Daniel L. Fapp
    Daniel L. Fapp was an American cinematographer known for his work on numerous Hollywood films, including the Oscar-winning West Side Story.
  • C. Philip Bruns
    Philip Bruns was an American character actor best known for his television and film roles in the 1970s and 1980s, including his work on the satirical soap opera "Mary Hartman, Mary Hartman."
  • D. Louis Barron
    Louis Barron was an American electronic music pioneer best known for co-creating the groundbreaking, fully electronic score for the 1956 science fiction film "Forbidden Planet."
  • E. Alan E. Nourse
    Alan E. Nourse was an American science fiction author and physician known for works that often explored medical and social themes, including the novel "The Bladerunner."
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de568b81f08190a571004261c0e8e4 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b38823881909c9df93371782b47 completed May 8, 2026, 11:01 p.m.
Created at: April 9, 2026, 10:21 p.m.