Triple

T5936940
Position Surface form Disambiguated ID Type / Status
Subject Memphis Bleek E132066 entity
Predicate alias P39 FINISHED
Object Bleek E538817 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: Bleek | Statement: [Memphis Bleek, alias, Bleek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bleek
Context triple: [Memphis Bleek, alias, Bleek]
  • A. Bleek chosen
    Bleek is a surname most notably associated with Wilhelm Bleek, a 19th-century linguist known for his pioneering work on African languages.
  • B. Barkway
    Barkway is a historic rural village in Hertfordshire, England, known for its traditional high street, period cottages, and surrounding countryside.
  • C. Eyebroughy
    Eyebroughy is a small rocky islet in the Firth of Forth, Scotland, known as a protected bird sanctuary and notable feature of the coastal landscape near North Berwick.
  • D. Nutfield
    Nutfield is a village and civil parish in Surrey, England, known for its rural character and proximity to the town of Redhill.
  • E. Boontling
    Boontling is a highly localized and inventive American English argot developed in the late 19th century in Boonville, California, known for its unique vocabulary and obscure origins.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038eca9688190adeed21df058daf1 completed March 22, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c06f979881908d7e98ee674f1ff2 completed March 23, 2026, 4:24 a.m.
Created at: March 22, 2026, 4:01 p.m.