Triple

T6987285
Position Surface form Disambiguated ID Type / Status
Subject Norval Sinclair Marley E161994 entity
Predicate givenName P17 FINISHED
Object Norval E436664 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: Norval | Statement: [Norval Sinclair Marley, givenName, Norval]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norval
Context triple: [Norval Sinclair Marley, givenName, Norval]
  • A. Norval chosen
    Norval is a small historic village in Ontario, Canada, known for its scenic Credit River setting and association with author Lucy Maud Montgomery.
  • B. Norris
    Norris is a surname most notably associated with influential American politician George W. Norris, a progressive-era U.S. senator from Nebraska.
  • C. Syrdon
    Syrdon is a cunning and often mischievous trickster figure from the Caucasian Nart sagas, known for his wit, guile, and disruptive antics among the Nart heroes.
  • D. Borgne
    Borgne is a coastal commune in northern Haiti known for its rural communities, fishing activities, and agricultural production.
  • E. Voss
    Voss is a premium Norwegian bottled water brand known for its minimalist cylindrical glass bottles and upscale positioning.
  • 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_69c68856d7808190ab33ee914640281b completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db95c6148190bdb5f355ac04db3f completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761cfda14819088e11889f0151a37 completed March 28, 2026, 5:06 a.m.
Created at: March 27, 2026, 2:32 p.m.