Triple

T5755975
Position Surface form Disambiguated ID Type / Status
Subject Benenden School E126966 entity
Predicate county P75 FINISHED
Object Kent E5977 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: Kent | Statement: [Benenden School, county, Kent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kent
Context triple: [Benenden School, county, Kent]
  • A. Kent
    Kent is a suburban city in King County, Washington, known as a residential and industrial hub within the greater Seattle metropolitan area.
  • B. Kent
    Kent is a villainous saloon owner and primary antagonist in the classic 1939 Western film "Destry Rides Again."
  • C. Kent chosen
    Kent is a county in southeastern England known for its historic towns, coastal landscapes, and nickname "the Garden of England."
  • D. Kent
    Kent is a brand of filtered cigarettes historically marketed as a "safer" smoking option and produced by the Lorillard Tobacco Company.
  • E. Kent
    Kent is the middle name of American basketball executive and former Boston Celtics head coach Brad Stevens.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02906848c8190bf7b0d62f57c27fa completed March 22, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0c6c3e08190b0118908ecb85df2 completed March 23, 2026, 3:17 a.m.
Created at: March 22, 2026, 3:49 p.m.