Triple

T5569041
Position Surface form Disambiguated ID Type / Status
Subject Michał E145950 entity
Predicate hasTransliteration P2508 FINISHED
Object Michal E145950 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: Michal | Statement: [Michał, hasTransliteration, Michal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michal
Context triple: [Michał, hasTransliteration, Michal]
  • A. Michal
    Michal is a mentally impaired and childlike character in Martin McDonagh’s dark play "The Pillowman," whose actions and relationship with his brother Katurian are central to the story’s moral and emotional conflict.
  • B. Michal
    Michal is a biblical figure, a daughter of King Saul who became the first wife of King David in the Hebrew Bible.
  • C. Michał chosen
    Michał is a Polish given name commonly used for males, equivalent to the English name Michael.
  • D. Michalina
    Michalina is a feminine given name of Slavic origin, commonly used in Polish-speaking countries.
  • E. Jakub
    Jakub is a given name, common in Slavic countries, that is a cognate of the Latin name Iacomus (James).
  • 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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0203789688190a0bab723186214ad completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d7e791c8190bf493d9a3334a5bd completed March 22, 2026, 11:38 p.m.
Created at: March 22, 2026, 3:36 p.m.