Triple

T12261102
Position Surface form Disambiguated ID Type / Status
Subject The Carpetbaggers E292225 entity
Predicate stars P1956 FINISHED
Object Audrey Totter E788106 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: Audrey Totter | Statement: [The Carpetbaggers, stars, Audrey Totter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Audrey Totter
Context triple: [The Carpetbaggers, stars, Audrey Totter]
  • A. Audrey Totter chosen
    Audrey Totter was an American film and television actress best known for her tough, alluring roles in classic 1940s film noir.
  • B. Phyllis Haver
    Phyllis Haver was an American silent film actress best known for her vivacious screen presence and her role as Roxie Hart in the 1927 film adaptation of "Chicago."
  • C. Lucille Raver
    Lucille Raver is a family member of American actor and singer Jason Gould, who is the son of Barbra Streisand and Elliott Gould.
  • D. Joan Blondell
    Joan Blondell was a popular American film and stage actress of the 1930s and 1940s, known for her wisecracking, warm-hearted characters in numerous Warner Bros. productions.
  • E. Carol Rossen
    Carol Rossen is an American actress best known for her supporting roles in films and television during the 1960s and 1970s.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cd964ec81908241d2b9a96d1025 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a531c62481908eac880e716cf55b completed May 3, 2026, 1:30 a.m.
Created at: April 8, 2026, 9:52 p.m.