Triple

T2530456
Position Surface form Disambiguated ID Type / Status
Subject Biograph Company E56144 entity
Predicate employed P7 FINISHED
Object Blanche Sweet E152513 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: Blanche Sweet | Statement: [Biograph Company, employed, Blanche Sweet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blanche Sweet
Context triple: [Biograph Company, employed, Blanche Sweet]
  • A. Marguerite Roberts
    Marguerite Roberts was a prominent American screenwriter known for her sharp dialogue and work on numerous Hollywood films from the 1930s through the 1960s, including the classic Western "True Grit."
  • B. Gladys Brockwell chosen
    Gladys Brockwell was an American stage and silent film actress known for her intense dramatic roles during the early 20th century.
  • C. Billie Burke
    Billie Burke was an American actress best known for her role as Glinda the Good Witch in the classic 1939 film "The Wizard of Oz."
  • D. Lucille Bliss
    Lucille Bliss was an American voice actress best known for her work in classic animated films and television, including early Disney productions and the original Smurfs series.
  • E. Volga Hayworth
    Volga Hayworth was the mother of Hollywood actress Rita Hayworth and part of the family background that shaped the star's early life.
  • 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_69ab4a48e4f081908f1218d244608659 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd276930c8190bd46b52e06b7098e completed March 7, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69af906b656081908df9a8b874aaa340 completed March 10, 2026, 3:30 a.m.
Created at: March 6, 2026, 9:46 p.m.