Triple

T22262548
Position Surface form Disambiguated ID Type / Status
Subject Arnt Eliassen E550264 entity
Predicate familyName P18 FINISHED
Object Eliassen NE NERFINISHED

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: Eliassen | Statement: [Arnt Eliassen, familyName, Eliassen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eliassen
Context triple: [Arnt Eliassen, familyName, Eliassen]
  • A. Eliassen chosen
    Eliassen is a Norwegian surname borne by various notable figures, including scientists, athletes, and public personalities.
  • B. Nylund
    Nylund is a Scandinavian-origin surname most widely recognized through the fictional character Rose Nylund from the television series "The Golden Girls."
  • C. McIlvaine
    McIlvaine is a surname most notably associated with Charles P. McIlvaine, a 19th-century American Episcopal bishop and religious author.
  • D. Finklea
    Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
  • E. Natanson
    Natanson is a surname most notably associated with Mark Natanson, a prominent Russian revolutionary and political activist of the late 19th and early 20th centuries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141b94a688190b17c55477993a745 completed April 28, 2026, 11:24 p.m.
Created at: April 16, 2026, 8:39 p.m.