Triple

T3696300
Position Surface form Disambiguated ID Type / Status
Subject Carol & Company E78466 entity
Predicate hasCastMember P2308 FINISHED
Object Teri Garr E152918 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: Teri Garr | Statement: [Carol & Company, hasCastMember, Teri Garr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teri Garr
Context triple: [Carol & Company, hasCastMember, Teri Garr]
  • A. Teri Garr chosen
    Teri Garr is an American actress known for her versatile performances in films such as "Young Frankenstein," "Close Encounters of the Third Kind," and "Tootsie."
  • B. Jami Gertz
    Jami Gertz is an American actress known for her roles in 1980s films and television series, including standout performances in movies like "The Lost Boys" and "Quicksilver."
  • C. Peggy Ann Garner
    Peggy Ann Garner was an American child actress best known for her acclaimed performance as Francie Nolan in the film adaptation of "A Tree Grows in Brooklyn."
  • D. Cindy Williams
    Cindy Williams was an American actress best known for her role as Shirley Feeney on the hit television sitcom "Laverne & Shirley."
  • E. Blythe Danner
    Blythe Danner is an American actress known for her work in film, television, and theater, including roles in "Meet the Parents" and numerous Broadway productions.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc50f9ad88190a926042fa73d65dc completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5120d23f481908f71e291c089505c completed March 14, 2026, 7:45 a.m.
Created at: March 8, 2026, 3:26 p.m.