Triple

T14682321
Position Surface form Disambiguated ID Type / Status
Subject Samuel Hoare Jr. E344818 entity
Predicate placeOfBirth P1 FINISHED
Object Middlesex E258941 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: Middlesex | Statement: [Samuel Hoare Jr., placeOfBirth, Middlesex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middlesex
Context triple: [Samuel Hoare Jr., placeOfBirth, Middlesex]
  • A. Middlesex
    Middlesex is a small village located in the Stann Creek District of Belize.
  • B. Middlesex
    Middlesex is a small town located in Yates County in the Finger Lakes region of New York State.
  • C. Middlesex
    Middlesex is a census division in southwestern Ontario, Canada, that includes the city of London and surrounding rural municipalities.
  • D. Middlesex
    Middlesex is a small rural town in Washington County, central Vermont, known for its scenic landscape and proximity to the state capital, Montpelier.
  • E. County of Middlesex chosen
    The County of Middlesex is a historic county in southeast England that once encompassed much of what is now Greater London and surrounding areas.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb56a51ec8190941684fd562a7182 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde182dab08190aac2ff2db666ee69 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:28 a.m.