Triple

T16473991
Position Surface form Disambiguated ID Type / Status
Subject Zelda Fitzgerald E400138 entity
Predicate sibling P363 FINISHED
Object Rosalind Sayre E400145 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: Rosalind Sayre | Statement: [Zelda Fitzgerald, sibling, Rosalind Sayre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosalind Sayre
Context triple: [Zelda Fitzgerald, sibling, Rosalind Sayre]
  • A. Rosalind Sayre chosen
    Rosalind Sayre was the younger sister of Zelda Fitzgerald, connected to the literary and social circles surrounding Zelda and F. Scott Fitzgerald in the early 20th century.
  • B. Rosalind Marquis
    Rosalind Marquis was an American film actress of the 1930s known for her supporting roles in Hollywood crime dramas and musicals.
  • C. Joanna Cazden
    Joanna Cazden is an American speech-language pathologist, voice therapist, and author known for her work with professional voice users and performers.
  • D. Lila Vogel
    Lila Vogel is the mother of journalist Lloyd Vogel, a character in the film "A Beautiful Day in the Neighborhood."
  • E. Katherine Pope
    Katherine Pope is a television executive and producer known for her leadership roles at major studios and her work overseeing high-profile series.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dd32e048190a9eadd32d6b9374c completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f5d16008190bd874080e86b8a2f completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:11 a.m.