Triple

T18050089
Position Surface form Disambiguated ID Type / Status
Subject Kenneth Ray Rogers E431906 entity
Predicate spouse P13 FINISHED
Object Wanda Miller 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: Wanda Miller | Statement: [Kenneth Ray Rogers, spouse, Wanda Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wanda Miller
Context triple: [Kenneth Ray Rogers, spouse, Wanda Miller]
  • A. Wanda Miller
    Wanda Miller is the mother of Jordan Edward Rogers, known primarily in relation to her son.
  • B. Wanda Miller chosen
    Wanda Miller is the longtime wife of late country music legend Kenny Rogers, known for their enduring marriage and her role in preserving his legacy.
  • C. Wanda Frank
    Wanda Frank is an alternate alias of the Marvel Comics character Scarlet Witch, a powerful mutant sorceress known for her reality-warping abilities and complex role within the Avengers and X-Men mythos.
  • D. Tammy Miller
    Tammy Miller is known as the spouse of American actor Joel McKinnon Miller, recognized for his roles in television and film.
  • E. Shirley Miller
    Shirley Miller is the central protagonist of the crime drama film "Widows," a recently widowed woman who becomes the leader of a heist planned to settle her late husband's debts.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bff57ea08190a30a87993f7d3299 completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 10:25 a.m.