Triple

T3572561
Position Surface form Disambiguated ID Type / Status
Subject Olivia Newton-John E75608 entity
Predicate givenName P17 FINISHED
Object Olivia E52448 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: Olivia | Statement: [Olivia Newton-John, givenName, Olivia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olivia
Context triple: [Olivia Newton-John, givenName, Olivia]
  • A. Olivia chosen
    Olivia is a feminine given name of Latin origin meaning "olive tree," widely used in English-speaking countries and popularized by literature and modern media.
  • B. Olivia Susan
    Olivia Susan "Susy" Clemens was the daughter of American author Mark Twain, remembered for her vivacious personality and her close, often creatively collaborative relationship with her father.
  • C. Olivia Brown
    Olivia Brown is known as the spouse of American actor Mykelti Williamson, recognized for his roles in films like "Forrest Gump."
  • D. Olivia Walton
    Olivia Walton is the strong, nurturing matriarch of the Walton family in the classic American television series "The Waltons."
  • E. Chloe
    Chloe is an epithet of the Greek goddess Demeter, highlighting her aspect as the bringer of new green growth and flourishing vegetation.
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0c447fc81909689259558187af4 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbbcf2d08190901049948df66f0c completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:21 p.m.