Triple

T3196645
Position Surface form Disambiguated ID Type / Status
Subject Page E66950 entity
Predicate hasNotableBearer P458 FINISHED
Object Bettie Page E201197 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: Bettie Page | Statement: [Page, hasNotableBearer, Bettie Page]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bettie Page
Context triple: [Page, hasNotableBearer, Bettie Page]
  • A. Bettie Page chosen
    Bettie Page was an iconic 1950s American pin-up model whose distinctive jet-black bangs and playful, risqué photographs made her a lasting pop culture and fashion influence.
  • B. Betty Grable
    Betty Grable was an American actress, singer, and iconic 1940s pin-up star best known for her musical film roles and famously insured legs.
  • C. Gypsy Rose Lee
    Gypsy Rose Lee was a famous American burlesque entertainer and author whose life inspired the musical "Gypsy."
  • D. Veronica Palmer
    Veronica Palmer is a sharp-tongued, image-obsessed executive from the satirical TV series "Better Off Ted," known for her ruthless corporate mindset and deadpan humor.
  • E. Madolyn Smith
    Madolyn Smith is an American actress best known for her film and television roles in the 1980s, including prominent performances in comedies and dramas.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada7177b488190b7a1b40ff3fae15f completed March 8, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bb2c9908190b3abc395537e22ac completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.