Triple

T8157253
Position Surface form Disambiguated ID Type / Status
Subject Brenda de Banzie E190480 entity
Predicate name P16 FINISHED
Object Brenda de Banzie E190480 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: Brenda de Banzie | Statement: [Brenda de Banzie, name, Brenda de Banzie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brenda de Banzie
Context triple: [Brenda de Banzie, name, Brenda de Banzie]
  • A. Brenda de Banzie chosen
    Brenda de Banzie was a British stage and film actress known for her strong character roles in mid-20th-century cinema and theatre.
  • B. Karla Crome
    Karla Crome is a British actress and writer known for her roles in television series such as Misfits, Under the Dome, and Carnival Row.
  • C. Pamela Archer
    Pamela Archer was the second wife of famed American World War II hero and actor Audie Murphy, with whom she had two sons and remained married until his death.
  • D. Bammie Green
    Bammie Green was the husband of American actress Anne Francis, known primarily in connection with her personal life rather than for a public career of his own.
  • E. Maria Burton
    Maria Burton is the adopted daughter of legendary British-American actress Elizabeth Taylor and her fifth husband, producer Mike Todd.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44da14a481909f8d3277762b0e75 completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf18c30c8190bdd98c4f0c2d28ea completed April 1, 2026, 6:45 a.m.
Created at: March 30, 2026, 5:37 p.m.