Triple

T17625936
Position Surface form Disambiguated ID Type / Status
Subject Kathryn Beaumont E429842 entity
Predicate familyName P18 FINISHED
Object Beaumont 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: Beaumont | Statement: [Kathryn Beaumont, familyName, Beaumont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beaumont
Context triple: [Kathryn Beaumont, familyName, Beaumont]
  • A. Beaumont
    Beaumont is a growing city in Southern California known for its suburban communities, proximity to the San Gorgonio Pass, and role as a gateway between the Inland Empire and the Coachella Valley.
  • B. Beaumont
    Beaumont is a residential suburb on the north side of Dublin, Ireland, known for its quiet streets, local amenities, and proximity to Beaumont Hospital.
  • C. Beaumont chosen
    Beaumont is a surname of French origin borne by various notable individuals, including English rugby union legend and administrator Bill Beaumont.
  • D. Beaumont
    Beaumont is a town located in the Condroz region of Belgium, known for its rural landscapes and historic character.
  • E. Beaumont
    Beaumont is a small suburban municipality located near Quebec City in the province of Quebec, Canada.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dbc62e88190b9757dc7c52d7fee completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.