Triple

T12425030
Position Surface form Disambiguated ID Type / Status
Subject Unfaithfully Yours E296874 entity
Predicate screenwriter P2831 FINISHED
Object Valerie Curtin E268037 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: Valerie Curtin | Statement: [Unfaithfully Yours, screenwriter, Valerie Curtin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valerie Curtin
Context triple: [Unfaithfully Yours, screenwriter, Valerie Curtin]
  • A. Valerie Curtin chosen
    Valerie Curtin is an American actress and screenwriter known for her work in film and television, including co-writing the acclaimed legal drama "...And Justice for All."
  • B. Bonnie Timmermann
    Bonnie Timmermann is an American casting director and film producer known for her influential work on numerous acclaimed films and television series.
  • C. Emily Sweeney
    Emily Sweeney is a dermatologist who appears as Rajesh Koothrappali’s love interest on the television sitcom "The Big Bang Theory."
  • D. Amy Wren
    Amy Wren is a British actress known for her television roles, including a prominent part in the comedy-drama series "Sirens."
  • E. Amanda Freitag
    Amanda Freitag is an American celebrity chef and television personality best known for her frequent judging appearances on Food Network cooking competition shows.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7b6bd08190b30beba393a5b1e7 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f0265fc81909a6288d11b78c2f9 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:55 p.m.