Triple

T21405534
Position Surface form Disambiguated ID Type / Status
Subject Candace Bushnell E528022 entity
Predicate familyName P18 FINISHED
Object Bushnell 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: Bushnell | Statement: [Candace Bushnell, familyName, Bushnell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bushnell
Context triple: [Candace Bushnell, familyName, Bushnell]
  • A. Bushnell chosen
    Bushnell is an English-language surname borne by various notable individuals, including theologian Horace Bushnell and several American inventors and public figures.
  • B. Bushnell
    Bushnell is a small city in central Florida known as the county seat of Sumter County and a gateway to nearby natural and historical attractions.
  • C. The Bushnell
    The Bushnell is a prominent performing arts center in Hartford, Connecticut, known for hosting Broadway tours, concerts, and major cultural events.
  • D. Buckman
    Buckman is a historic, mixed-use neighborhood in inner southeast Portland, Oregon, known for its older residential streets, industrial areas, and vibrant local businesses.
  • E. Nortrup
    Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
  • 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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b1aea22881909a0cc754e417fbf3 completed April 22, 2026, 11:31 a.m.
Created at: April 16, 2026, 5:31 p.m.