Triple

T21766909
Position Surface form Disambiguated ID Type / Status
Subject Thousands Cheer E537316 entity
Predicate castMember P1668 FINISHED
Object Marsha Hunt 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: Marsha Hunt | Statement: [Thousands Cheer, castMember, Marsha Hunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marsha Hunt
Context triple: [Thousands Cheer, castMember, Marsha Hunt]
  • A. Marsha Hunt chosen
    Marsha Hunt is an American actress and activist best known for her work in Hollywood films of the 1930s and 1940s and for her later humanitarian and political engagement.
  • B. Dorothy Shaw
    Dorothy Shaw is the witty, down-to-earth brunette showgirl and best friend of Lorelei Lee in the musical comedy "Gentlemen Prefer Blondes."
  • C. Marsha White
    Marsha White is the central character in the classic The Twilight Zone episode "The After Hours," known for her eerie discovery about her true identity in a deserted department store.
  • D. Margo Hughes
    Margo Hughes is a long-running fictional character from the soap opera "As the World Turns," known for her complex personal relationships and central role in the Hughes family storylines.
  • E. Marion Marshall
    Marion Marshall was an American film actress who appeared in numerous Hollywood movies from the 1940s through the 1960s.
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031aa9c888190887c5c1d1e3bab9f completed April 28, 2026, 4:03 a.m.
Created at: April 16, 2026, 6:51 p.m.