Triple

T5135445
Position Surface form Disambiguated ID Type / Status
Subject Micheal E115807 entity
Predicate hasCommonMisspellingOf P56633 FINISHED
Object Michael E21023 NE FINISHED

How this triple was built (3 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: Michael | Statement: [Micheal, hasCommonMisspellingOf, Michael]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael
Context triple: [Micheal, hasCommonMisspellingOf, Michael]
  • A. Michael chosen
    Michael is a common masculine given name of Hebrew origin meaning "Who is like God?"
  • B. Kevin
    Kevin is the given name of Kevin Garnett, a Hall of Fame American professional basketball player known for his intensity, versatility, and NBA championship with the Boston Celtics.
  • C. Kevin
    Kevin is the young boy protagonist of the 1981 fantasy adventure film "Time Bandits," who joins a group of time-traveling dwarfs on a series of historical escapades.
  • D. Kevin
    Kevin is a recurring character in the animated series "Ed, Edd n Eddy," known as the neighborhood jock and frequent antagonist to the Eds.
  • E. Kevin
    Kevin is a common masculine given name of Irish origin, meaning "handsome" or "kind."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCommonMisspellingOf
Context triple: [Micheal, hasCommonMisspellingOf, Michael]
  • A. sharesSpellingWith
    Indicates that two entities have identical or substantially identical written forms (i.e., they are spelled the same way).
  • B. hasTypicalSpelling chosen
    Indicates that one form is the standard or commonly accepted spelling of another form.
  • C. hasVariantSpelling
    Indicates that one term is an alternative spelling form of another term.
  • D. hasPronunciationDifferenceFrom
    Indicates that two linguistic items differ in how they are pronounced.
  • E. spellingGimmick
    Indicates a distinctive or unconventional way of spelling something used for effect or branding rather than standard orthography.
  • F. None of above.

Provenance (4 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7fef2e8c8190982dd67f50295ada completed March 20, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef7f117ac8190a03379437484627b completed March 21, 2026, 7:56 p.m.
PD Predicate disambiguation batch_69bd77ac2fc48190abeebb003a82384c completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:43 p.m.