Triple

T4768321
Position Surface form Disambiguated ID Type / Status
Subject Michal E105865 entity
Predicate givenName P17 FINISHED
Object Michal E22906 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: [Michal, givenName, Michal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michal
Context triple: [Michal, givenName, Michal]
  • A. Michal chosen
    Michal is a biblical figure, a daughter of King Saul who became the first wife of King David in the Hebrew Bible.
  • B. 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.
  • C. Michał
    Michał is a Polish given name commonly used for males, equivalent to the English name Michael.
  • D. Jakub
    Jakub is a given name, common in Slavic countries, that is a cognate of the Latin name Iacomus (James).
  • E. Jacek
    Jacek is a common Polish male given name, often associated with notable figures in Polish politics, arts, and academia.
  • 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6537eb80819096e0ae906c59d605 completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a8f7318819088839becd09577ce completed March 21, 2026, 6:28 a.m.
Created at: March 20, 2026, 1:21 p.m.