Triple

T1912199
Position Surface form Disambiguated ID Type / Status
Subject Effie White E38133 entity
Predicate conflictWith P4897 FINISHED
Object Deena Jones E233102 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: Deena Jones | Statement: [Effie White, conflictWith, Deena Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deena Jones
Context triple: [Effie White, conflictWith, Deena Jones]
  • A. Deena Jones chosen
    Deena Jones is a central character in the musical and film "Dreamgirls," a member of the girl group modeled on The Supremes who rises to lead stardom amid personal and professional conflicts.
  • B. Laura Jones
    Laura Jones is an Australian screenwriter known for her work on acclaimed films such as "High Tide" (1987) and several literary adaptations.
  • C. Debralee Scott
    Debralee Scott was an American actress best known for her comedic roles on 1970s and 1980s television sitcoms and films.
  • D. Dana DeMuth
    Dana DeMuth is a longtime Major League Baseball umpire who has officiated numerous postseason games, including multiple World Series.
  • E. Beth DeBauche
    Beth DeBauche is a collegiate athletics administrator known for serving as commissioner of the Ohio Valley Conference.
  • 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1e15f148190bf834ec5f3abf83e completed March 7, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5173b2188190bfb492c73a1bba06 completed March 9, 2026, 4:49 a.m.
Created at: March 4, 2026, 7:35 p.m.