Triple

T7911217
Position Surface form Disambiguated ID Type / Status
Subject Dixie Carter E183702 entity
Predicate name P16 FINISHED
Object Dixie Carter E183702 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: Dixie Carter | Statement: [Dixie Carter, name, Dixie Carter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dixie Carter
Context triple: [Dixie Carter, name, Dixie Carter]
  • A. Dixie Carter chosen
    Dixie Carter was an American actress best known for her role as Julia Sugarbaker on the television series "Designing Women."
  • B. Helen Shaver
    Helen Shaver is a Canadian actress and director known for her work in film and television since the 1970s, including prominent roles in thrillers and dramas.
  • C. Betty Reynolds
    Betty Reynolds is the daughter of Canadian actor Ryan Reynolds and American actress Blake Lively.
  • D. Catherine Hicks
    Catherine Hicks is an American actress best known for her role as Annie Camden on the long-running television series "7th Heaven."
  • E. Darlene Hunt
    Darlene Hunt is an American television writer and producer best known for creating the Showtime series "The Big C" and serving as an executive producer on various TV projects.
  • 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a725b8c8190a530adb3107a95dd completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bdaf91c8190b31c5e539bdf049f completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:04 p.m.