Triple

T21343216
Position Surface form Disambiguated ID Type / Status
Subject Walter Koenig E526255 entity
Predicate spouse P13 FINISHED
Object Judy Levitt 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: Judy Levitt | Statement: [Walter Koenig, spouse, Judy Levitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Judy Levitt
Context triple: [Walter Koenig, spouse, Judy Levitt]
  • A. Judy Levitt chosen
    Judy Levitt is an American actress best known for her long marriage to Star Trek actor Walter Koenig and for appearing in several of his film and television projects.
  • B. Judy Weiss
    Judy Weiss is a German singer best known for her pop and musical theatre performances, including duet collaborations with international artists.
  • C. Janet Margolin
    Janet Margolin was an American film and television actress best known for her roles in movies such as "David and Lisa" and Woody Allen's "Annie Hall."
  • D. Judie Aronson
    Judie Aronson is an American actress best known for her roles in 1980s films and television, including a notable appearance in the horror genre.
  • E. Judith Feldman
    Judith Feldman is a screenwriter best known for her work on the 1997 film "An American Affair."
  • 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8a8515bc48190b79f80e505550cd5 completed April 22, 2026, 10:52 a.m.
Created at: April 16, 2026, 4:44 p.m.