Triple

T11328827
Position Surface form Disambiguated ID Type / Status
Subject Antz E268291 entity
Predicate voiceCastMember P9616 FINISHED
Object Jane Curtin E331363 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: Jane Curtin | Statement: [Antz, voiceCastMember, Jane Curtin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jane Curtin
Context triple: [Antz, voiceCastMember, Jane Curtin]
  • A. Jane Curtin chosen
    Jane Curtin is an American actress and comedian best known as an original cast member of "Saturday Night Live" and for her roles in sitcoms such as "Kate & Allie" and "3rd Rock from the Sun."
  • B. Conchata Ferrell
    Conchata Ferrell was an American character actress best known for her role as the sharp-tongued housekeeper Berta on the television sitcom "Two and a Half Men."
  • C. Catherine Keener
    Catherine Keener is an American actress known for her nuanced supporting and character roles in acclaimed films such as "Being John Malkovich," "Capote," and "Get Out."
  • D. Patricia Wettig
    Patricia Wettig is an American actress best known for her Emmy-winning role on the television series "thirtysomething" and her work in film and TV dramas.
  • E. Mary Steenburgen
    Mary Steenburgen is an American actress known for her versatile performances in film and television, including acclaimed roles in movies such as "Melvin and Howard," "Back to the Future Part III," and numerous character-driven dramas and comedies.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e330008190b75490efde01dc59 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5261770ac8190b8fc7e2099aa8ace completed April 19, 2026, 6:59 p.m.
Created at: April 8, 2026, 9:32 p.m.