Triple

T1756957
Position Surface form Disambiguated ID Type / Status
Subject Olivia Cole E38569 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 Cole, givenName, Olivia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olivia
Context triple: [Olivia Cole, 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 Brown
    Olivia Brown is known as the spouse of American actor Mykelti Williamson, recognized for his roles in films like "Forrest Gump."
  • C. Chloe
    Chloe is an epithet of the Greek goddess Demeter, highlighting her aspect as the bringer of new green growth and flourishing vegetation.
  • D. Chloe
    Chloe is the birth name of Nobel Prize–winning American novelist Toni Morrison, renowned for her powerful explorations of African American life and history.
  • E. Olivia Mariamne Devenish
    Olivia Mariamne Devenish was the first wife of British colonial administrator Sir Thomas Stamford Raffles and accompanied him during his early career in Southeast Asia.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa643ce88481909d2feef3c5fd849f completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc99dab1c8190802d01ece5fcdd22 completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:31 p.m.