Triple

T12748849
Position Surface form Disambiguated ID Type / Status
Subject Charlotte Canning E304678 entity
Predicate givenName P17 FINISHED
Object Charlotte E230414 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: Charlotte | Statement: [Charlotte Canning, givenName, Charlotte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte
Context triple: [Charlotte Canning, givenName, Charlotte]
  • A. Charlotte
    Charlotte is a royal figure bearing the traditional title of Princess Royal, historically associated with the eldest daughter of the British monarch.
  • B. Charlotte chosen
    Charlotte is a feminine given name of French and English origin, traditionally used as the female form of Charles and borne by numerous queens, nobles, and notable figures.
  • C. Charlotte
    Charlotte is a prominent American professional wrestler best known for her championship success in WWE and for being the daughter of wrestling legend Ric Flair.
  • D. Charlotte, North Carolina
    Charlotte, North Carolina is the largest city in the state and a major U.S. financial and commercial hub known for hosting numerous corporate headquarters and a rapidly growing metropolitan area.
  • E. Raleigh
    Raleigh is the capital city of North Carolina and a major hub for education, technology, and research within the state’s Research Triangle region.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd58d30819082af4edb4cd0b4ab completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684dd133481909ce06b8b1fd5a5e3 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:27 p.m.