Triple

T14055132
Position Surface form Disambiguated ID Type / Status
Subject William L. Clayton E338197 entity
Predicate familyName P18 FINISHED
Object Clayton E132914 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: Clayton | Statement: [William L. Clayton, familyName, Clayton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clayton
Context triple: [William L. Clayton, familyName, Clayton]
  • A. Clayton
    Clayton is a town in Johnston County, North Carolina, known as a growing suburban community within the Raleigh metropolitan area.
  • B. Clayton chosen
    Clayton is a common English-language surname borne by numerous notable individuals across fields such as music, sports, politics, and academia.
  • C. Clayton
    Clayton is a small village located within the town of New Marlborough in Berkshire County, Massachusetts.
  • D. Clayton
    Clayton is a small town in southeastern Alabama that serves as the county seat of Barbour County.
  • E. Clayton
    Clayton is a small village in West Sussex, England, known for its rural setting beneath the South Downs and historic landmarks such as the Clayton Windmills.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8d1aa48190a5055d15d9fa220c completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6608cf8819087ed5d890b82650a completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:20 p.m.