Triple

T1124640
Position Surface form Disambiguated ID Type / Status
Subject Margo Channing E24691 entity
Predicate portrayedBy P1507 FINISHED
Object Bette Davis E15728 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: Bette Davis | Statement: [Margo Channing, portrayedBy, Bette Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bette Davis
Context triple: [Margo Channing, portrayedBy, Bette Davis]
  • A. Bette Davis chosen
    Bette Davis was an iconic American film actress renowned for her intense, uncompromising performances and pioneering portrayals of complex, strong-willed women on screen.
  • B. Barbara Stanwyck
    Barbara Stanwyck was a versatile and acclaimed American film and television actress, celebrated for her hard-edged yet emotionally rich performances in classic Hollywood cinema and later in prominent TV dramas.
  • C. Joan Crawford
    Joan Crawford was a legendary American film actress and Hollywood star whose career spanned from the silent era to the 1970s, earning her an Academy Award and enduring icon status.
  • D. Olivia de Havilland
    Olivia de Havilland was a British-American actress of Hollywood’s Golden Age, renowned for her nuanced dramatic performances and two Academy Award-winning roles.
  • E. Ava Gardner
    Ava Gardner was a celebrated American film actress and Hollywood icon of the 1940s and 1950s, renowned for her beauty, charisma, and roles in classics such as "The Killers" and "Mogambo."
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbd92a8c8190a16e55f3f739010f completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde0684e4819091720c985c317671 completed March 8, 2026, 2:25 a.m.
Created at: March 1, 2026, 7:44 p.m.