Triple

T19416213
Position Surface form Disambiguated ID Type / Status
Subject The Ref E485722 entity
Predicate castMember P1668 FINISHED
Object Christine Baranski 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: Christine Baranski | Statement: [The Ref, castMember, Christine Baranski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christine Baranski
Context triple: [The Ref, castMember, Christine Baranski]
  • A. Christine Baranski chosen
    Christine Baranski is an American actress known for her sharp-witted, sophisticated roles in film, television, and theater, including acclaimed performances in works like "The Good Wife," "Mamma Mia!," and numerous stage productions.
  • B. Linda Purl
    Linda Purl is an American actress and singer best known for her roles on television series such as "Happy Days," "Matlock," and "The Office."
  • C. Debra Messing
    Debra Messing is an American actress best known for her Emmy-winning role as Grace Adler on the sitcom "Will & Grace."
  • D. Laurie Metcalf
    Laurie Metcalf is an American actress acclaimed for her work in television, film, and theater, notably for her Emmy-winning role on "Roseanne" and performances in projects like "Lady Bird."
  • E. Dianne Wiest
    Dianne Wiest is an acclaimed American actress known for her versatile performances in film, television, and theater, including multiple award-winning supporting roles.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af9c8fc81909860de10b6720207 completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:37 p.m.