Triple

T21848483
Position Surface form Disambiguated ID Type / Status
Subject Daydream Nation E539438 entity
Predicate castMember P1668 FINISHED
Object Rachel Blanchard NE NERFINISHED

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: Rachel Blanchard | Statement: [Daydream Nation, castMember, Rachel Blanchard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel Blanchard
Context triple: [Daydream Nation, castMember, Rachel Blanchard]
  • A. Rachel Blanchard chosen
    Rachel Blanchard is a Canadian actress known for her roles in film and television, including the series "Clueless" and various comedy and drama projects.
  • B. Susan Blanchard
    Susan Blanchard is an American socialite and former Broadway production assistant best known as the third wife of actor Henry Fonda.
  • C. Sisson Blanchard
    Sisson Blanchard is a Haitian naïve painter known for his vibrant, folkloric scenes that reflect rural life and cultural traditions in Haiti.
  • D. Betsy Blair
    Betsy Blair was an American actress best known for her acclaimed, Oscar-nominated performance in the 1955 film "Marty" and for her work in both Hollywood and European cinema.
  • E. Mary Preston
    Mary Preston is a central character in the 1927 silent war film "Wings," portrayed as a young woman entangled in a romantic triangle with two World War I fighter pilots.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0bd56f4e081909a906b64c1019e6a completed April 28, 2026, 1:59 p.m.
Created at: April 16, 2026, 6:55 p.m.