Triple

T6125191
Position Surface form Disambiguated ID Type / Status
Subject Alice E136578 entity
Predicate castMember P1668 FINISHED
Object Linda Lavin E574864 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: Linda Lavin | Statement: [Alice, castMember, Linda Lavin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linda Lavin
Context triple: [Alice, castMember, Linda Lavin]
  • A. Linda Lavin chosen
    Linda Lavin is an American actress and singer best known for her title role in the 1970s–80s sitcom "Alice," which earned her multiple Golden Globe Awards and widespread recognition.
  • B. Susan Martin
    Susan Martin is best known as the longtime wife of acclaimed American actor Burt Lancaster.
  • C. Candice Bergen
    Candice Bergen is an American actress and former fashion model best known for her Emmy-winning role as the sharp-tongued journalist Murphy Brown on the hit television sitcom of the same name.
  • D. Jane Leeves
    Jane Leeves is an English actress best known for her role as Daphne Moon on the television sitcom "Frasier."
  • E. Barbara Bach
    Barbara Bach is an American actress and former model best known for playing Bond girl Anya Amasova in the James Bond film "The Spy Who Loved Me."
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c2791948190ba33458edfd1ebe8 completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c518df074481909d3990c92c11c05a completed March 26, 2026, 11:30 a.m.
Created at: March 22, 2026, 4:14 p.m.