Triple

T23371133
Position Surface form Disambiguated ID Type / Status
Subject The Country Girl E593474 entity
Predicate character P662 FINISHED
Object Bernie Dodd 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: Bernie Dodd | Statement: [The Country Girl, character, Bernie Dodd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernie Dodd
Context triple: [The Country Girl, character, Bernie Dodd]
  • A. Bernie Dodd chosen
    Bernie Dodd is a driven Broadway director in the film "The Country Girl," whose demanding methods and personal struggles shape the story’s central drama.
  • B. Laramie Eppler
    Laramie Eppler is an American actor best known for his role as one of the young brothers in Terrence Malick’s acclaimed film "The Tree of Life."
  • C. Buddy Sorrell
    Buddy Sorrell is a wisecracking comedy writer and supporting character on the classic American sitcom "The Dick Van Dyke Show."
  • D. Michael Toombs
    Michael Toombs is an American artist and community activist known for his public art projects and work in arts-based community development.
  • E. Homer Bannon
    Homer Bannon is a central character in Larry McMurtry’s novel "Horseman, Pass By," depicted as an aging, principled Texas rancher struggling to maintain his way of life amid changing times.
  • 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0b0bdc081908c7852c026ca7ff7 completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:32 p.m.