Triple

T23096689
Position Surface form Disambiguated ID Type / Status
Subject Mihály E575909 entity
Predicate relatedName P3889 FINISHED
Object Micheal NE NERFINISHED

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: Micheal | Statement: [Mihály, relatedName, Micheal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Micheal
Context triple: [Mihály, relatedName, Micheal]
  • A. Micheal chosen
    Micheal is a given name, typically a variant spelling of the more common name Michael.
  • B. Michaël
    Michaël is a given name, typically a French or Dutch variant of the name Michael, used for males in various European countries.
  • C. Michael’s
    Michael’s is a national arts and crafts retail chain known for selling hobby supplies, home décor, and DIY project materials.
  • D. Michael William
    Michael William is the given name of Michael William Balfe, a 19th-century Irish composer best known for his operas such as "The Bohemian Girl."
  • E. MIKE
    MIKE is a high-resolution optical spectrograph used on the Magellan Telescopes for detailed astronomical spectroscopy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18de522e48190a37e6c2fda2de465 completed April 29, 2026, 4:49 a.m.
Created at: April 17, 2026, 3:57 p.m.