Triple

T21652998
Position Surface form Disambiguated ID Type / Status
Subject Michaela E534386 entity
Predicate hasDiminutive P456 FINISHED
Object Micha 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: Micha | Statement: [Michaela, hasDiminutive, Micha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Micha
Context triple: [Michaela, hasDiminutive, Micha]
  • A. Micha chosen
    Micha is a masculine given name of Hebrew origin, commonly used in Jewish and Israeli communities and related to the name Michael.
  • B. Micka
    Micka is a diminutive or affectionate nickname commonly used for the given name Michael.
  • C. Michahay
    Michahay is a dialect of the Southern Valley Yokuts language traditionally spoken by Indigenous Yokuts people of California’s Central Valley.
  • D. Mik
    Mik is a character associated with Marvel Comics’ Future Foundation, a team of young, highly intelligent heroes connected to the Fantastic Four.
  • E. Mik
    Mik is the nickname and given name of Mik Kaminski, the English violinist best known for his work with the rock band Electric Light Orchestra.
  • 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef591594a08190bf0ddd0a0c0922ba completed April 27, 2026, 12:39 p.m.
Created at: April 16, 2026, 6:36 p.m.