Triple

T5247459
Position Surface form Disambiguated ID Type / Status
Subject Dan Hampton E118498 entity
Predicate familyName P18 FINISHED
Object Hampton E389684 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: Hampton | Statement: [Dan Hampton, familyName, Hampton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hampton
Context triple: [Dan Hampton, familyName, Hampton]
  • A. Hampton chosen
    Hampton is a surname of English origin borne by various notable individuals, including those in the arts and public life.
  • B. Hampton
    Hampton is a suburban town in the London Borough of Richmond upon Thames, England, situated on the north bank of the River Thames.
  • C. Hampton
    Hampton is an independent coastal city in southeastern Virginia known for its historic role in early American settlement and its location at the entrance to the Chesapeake Bay.
  • D. Hampton
    Hampton is a historic coastal town in southeastern New Hampshire, known as one of the colony’s earliest settlements and now a popular beach community.
  • E. Hampton
    Hampton is a residential suburb and developing township located within the city of Peterborough in Cambridgeshire, England.
  • 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_69bd4468aacc8190a8196f71855cdf4f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b5320748190bcf3be4b6c364f92 completed March 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe68e1148190b2e3cc1f9e49dbbf completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:50 p.m.