Triple

T6101481
Position Surface form Disambiguated ID Type / Status
Subject Blanche Devereaux E136006 entity
Predicate closeFriend P8712 FINISHED
Object Rose Nylund E339035 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: Rose Nylund | Statement: [Blanche Devereaux, closeFriend, Rose Nylund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rose Nylund
Context triple: [Blanche Devereaux, closeFriend, Rose Nylund]
  • A. Rose Nylund chosen
    Rose Nylund is a sweet, naive, and hilariously literal-minded Midwestern woman portrayed by Betty White on the classic sitcom "The Golden Girls."
  • B. Nora Mellon
    Nora Mellon was a member of the prominent Mellon family after whom the industrial town of Donora, Pennsylvania, was named.
  • C. Gwynne Gilford
    Gwynne Gilford is an American former actress who appeared in film and television in the 1970s and 1980s.
  • D. June Mulgrew
    June Mulgrew is a New Zealand woman best known as the second wife of famed mountaineer Sir Edmund Hillary.
  • E. Nora Rowley
    Nora Rowley is a central fictional character in Anthony Trollope’s novel "He Knew He Was Right," notable for her intelligence, independence, and complex romantic choices within Victorian society.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b3aa9908190865be98ada141d37 completed March 22, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7a4eddc81908148e3428c69d654 completed March 29, 2026, 6:33 a.m.
Created at: March 22, 2026, 4:13 p.m.