Triple

T12513074
Position Surface form Disambiguated ID Type / Status
Subject Cary Guffey E299128 entity
Predicate givenName P17 FINISHED
Object Cary E899864 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: Cary | Statement: [Cary Guffey, givenName, Cary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cary
Context triple: [Cary Guffey, givenName, Cary]
  • A. Cary
    Cary is a rapidly growing suburban town in North Carolina known for its high quality of life, proximity to major research universities, and role as a residential and tech hub within the Research Triangle region.
  • B. Cary chosen
    Cary is a given name used as the middle name of Ann Cary Randolph, a member of the prominent Randolph family of early American history.
  • C. Mooresville
    Mooresville is a small town in central Indiana that functions as a suburban community within the greater Indianapolis metropolitan region.
  • D. Roxboro
    Roxboro is a former municipality on the Island of Montreal that later became part of the borough of Pierrefonds-Roxboro.
  • E. Charlotte
    Charlotte is a royal figure bearing the traditional title of Princess Royal, historically associated with the eldest daughter of the British monarch.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541e752c8190bf12d2b5a37b53df completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6685d8c64819088db715d7552d18d completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:57 p.m.