Triple

T17716269
Position Surface form Disambiguated ID Type / Status
Subject The In-Laws E442207 entity
Predicate castMember P1668 FINISHED
Object Nancy Dussault 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: Nancy Dussault | Statement: [The In-Laws, castMember, Nancy Dussault]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nancy Dussault
Context triple: [The In-Laws, castMember, Nancy Dussault]
  • A. Nancy Dussault chosen
    Nancy Dussault is an American actress and singer best known for her work on Broadway and in television sitcoms, including the series "Too Close for Comfort."
  • B. Nancy Dubuc
    Nancy Dubuc is an American media executive and producer best known for leading networks like A&E and Vice Media and overseeing hit nonfiction and scripted programming.
  • C. Patricia Charbonnet
    Patricia Charbonnet is a film producer best known for her work on the influential 1995 comedy "Friday."
  • D. Brigitte Bourgeois
    Brigitte Bourgeois is a Canadian politician who served as a member of the National Assembly of Quebec.
  • E. Suzanne Bourgeois
    Suzanne Bourgeois is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Bourgeois.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47480955481908fa0d3d34aaedd48 completed April 19, 2026, 6:21 a.m.
Created at: April 10, 2026, 10:06 a.m.