Triple

T13100968
Position Surface form Disambiguated ID Type / Status
Subject High Octane Theater E310714 entity
Predicate city P40 FINISHED
Object Charlotte E22700 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: [High Octane Theater, city, Charlotte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte
Context triple: [High Octane Theater, city, Charlotte]
  • A. 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.
  • B. Charlotte
    Charlotte is a royal figure bearing the traditional title of Princess Royal, historically associated with the eldest daughter of the British monarch.
  • C. Charlotte
    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.
  • D. Charlotte, North Carolina chosen
    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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981515d488190908d3cca1b84a42d completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5cd9f2081908c207b21a14233e1 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:04 p.m.