Triple

T6459318
Position Surface form Disambiguated ID Type / Status
Subject Donovan E142074 entity
Predicate hasSpellingVariant P457 FINISHED
Object Donavon E358943 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: Donavon | Statement: [Donovan, hasSpellingVariant, Donavon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donavon
Context triple: [Donovan, hasSpellingVariant, Donavon]
  • A. Donavon Frankenreiter chosen
    Donavon Frankenreiter is an American singer-songwriter and surfer known for his laid-back, folk-rock sound and close association with Jack Johnson and the surf music scene.
  • B. Donny
    Donny is a colloquial nickname for Doncaster Rovers Football Club, an English professional football team based in Doncaster, South Yorkshire.
  • C. Devin
    Devin is a small spa town in southern Bulgaria, renowned for its mineral springs and scenic location in the Rhodope Mountains.
  • D. Davo
    Davo is a common informal nickname or short form of the given name David, often used in English-speaking countries.
  • E. Jono
    Jono is a casual diminutive or nickname commonly used for the given name Jonathan.
  • 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_69c008d2f91c8190a8178767a35e08fc completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069f347f48190a2b22c5b648b17bd completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64be1fad88190af07b7053811e3f2 completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:48 p.m.