Triple

T22853228
Position Surface form Disambiguated ID Type / Status
Subject Dunning E566406 entity
Predicate hasSurname P18 FINISHED
Object Dunning 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: Dunning | Statement: [Dunning, hasSurname, Dunning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dunning
Context triple: [Dunning, hasSurname, Dunning]
  • A. Dunning
    Dunning is the individual after whom Dunning-Cohen Champions Field is named, likely recognized for significant contributions or support associated with the venue or its affiliated institution.
  • B. Dunning chosen
    Dunning is a primarily residential neighborhood on Chicago’s Northwest Side known for its quiet streets, parks, and mix of single-family homes and small businesses.
  • C. DUN
    DUN is the standard abbreviation used to represent the professional ice hockey team Dundee Stars.
  • D. Dunn
    Dunn is a surname of English and Irish origin borne by numerous notable individuals across fields such as politics, sports, and the arts.
  • E. Dully
    Dully is a small Swiss municipality located on the shores of Lake Geneva in the canton of Vaud.
  • 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_69e2458750b481908a8e4cf4609cc6cf completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17eba65a881908c484262c3ee5212 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:37 p.m.