Triple

T4005409
Position Surface form Disambiguated ID Type / Status
Subject Gob Bluth E89513 entity
Predicate relative P37 FINISHED
Object Lindsay Bluth Fünke E154143 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: Lindsay Bluth Fünke | Statement: [Gob Bluth, relative, Lindsay Bluth Fünke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lindsay Bluth Fünke
Context triple: [Gob Bluth, relative, Lindsay Bluth Fünke]
  • A. Lindsay Bluth Fünke chosen
    Lindsay Bluth Fünke is a vain, materialistic, and often clueless member of the dysfunctional Bluth family on the television sitcom "Arrested Development."
  • B. Leslie Easterbrook
    Leslie Easterbrook is an American actress best known for her role as Sergeant Debbie Callahan in the "Police Academy" film series.
  • C. Mary-Ellis Bunim
    Mary-Ellis Bunim was an American television producer best known as a pioneer of modern reality TV, particularly through co-creating influential series like MTV’s "The Real World."
  • D. Amy Landecker
    Amy Landecker is an American actress best known for her role as Sarah Pfefferman on the television series "Transparent."
  • E. Amy Ferson
    Amy Ferson is an American journalist and commentator best known as the first wife of television personality and news anchor T. J. Holmes.
  • 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_69aed9585e788190bec2d39deba3750f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa5f7b308190adaad864eec98936 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c648d3c8190a85e5cdfb20f6044 completed March 14, 2026, 11:54 a.m.
Created at: March 9, 2026, 3:34 p.m.