Triple

T14226041
Position Surface form Disambiguated ID Type / Status
Subject Betty E352618 entity
Predicate hasVariantForm P457 FINISHED
Object Bettie E207394 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: Bettie | Statement: [Betty, hasVariantForm, Bettie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bettie
Context triple: [Betty, hasVariantForm, Bettie]
  • A. Bettie chosen
    Bettie is a feminine given name, often used as a diminutive or variant of names like Bettina or Elizabeth.
  • B. Bette
    Bette is the given name of American singer, actress, and comedian Bette Midler.
  • C. Betty
    Betty is the familiar nickname of Betty Ford, the former First Lady of the United States and founder of the Betty Ford Center for substance abuse treatment.
  • D. Betty
    Betty is the birth name of iconic American actress Lauren Bacall, a legendary figure of Hollywood's Golden Age.
  • E. Betty
    Betty is an alternate given name used by the American actress and author Brenda Joyce.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6228e53c8190abbe4e2d88a7362a completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd281801488190bcb17d27ee18cde6 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:06 a.m.