Triple

T16836259
Position Surface form Disambiguated ID Type / Status
Subject Lady Georgiana Caroline Carteret E409288 entity
Predicate familyName P18 FINISHED
Object Carteret E418366 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: Carteret | Statement: [Lady Georgiana Caroline Carteret, familyName, Carteret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carteret
Context triple: [Lady Georgiana Caroline Carteret, familyName, Carteret]
  • A. Carteret chosen
    Carteret is a borough in Middlesex County, New Jersey, known as a residential and industrial community along the Arthur Kill waterfront.
  • B. Beaufort
    Beaufort is an English noble family name historically associated with a prominent cadet branch of the House of Lancaster in medieval England.
  • C. Beaufort
    Beaufort is a small town and administrative district in the southwestern part of Sabah, Malaysia, known for its railway connection and proximity to wetlands and riverine landscapes.
  • D. Beaufort
    Beaufort is a firm, raw cow’s milk Alpine cheese from France renowned for its smooth texture and complex, nutty flavor.
  • E. Beaufort
    Beaufort is a character in Frances Burney’s satirical play "The Witlings," which critiques the pretensions and follies of fashionable 18th-century society.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b34d49d08190aa62f05d67244584 completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c79e86ac8190b89c4ebb05250b4f completed May 10, 2026, 5:59 p.m.
Created at: April 10, 2026, 5:23 a.m.