Triple

T6635564
Position Surface form Disambiguated ID Type / Status
Subject The Extra Day E150440 entity
Predicate hasCastMember P2308 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: [The Extra Day, hasCastMember, Brenda de Banzie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brenda de Banzie
Context triple: [The Extra Day, hasCastMember, 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. 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.
  • C. Maria Burton
    Maria Burton is the adopted daughter of legendary British-American actress Elizabeth Taylor and her fifth husband, producer Mike Todd.
  • D. Alison Bagnall
    Alison Bagnall is an American filmmaker and actress best known for co-writing "Buffalo '66" and directing indie films such as "The Dish & the Spoon."
  • E. Brenda Joyce
    Brenda Joyce was an American film actress best known for her roles in 1930s and 1940s Hollywood productions, including several Tarzan films.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afcd9a608190a949eb55766d5701 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eeed01608190bbc6461ac8c3cadb completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 1:59 p.m.