Triple

T17531663
Position Surface form Disambiguated ID Type / Status
Subject Mirosław E426949 entity
Predicate shortForm P43 FINISHED
Object Mirek 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: Mirek | Statement: [Mirosław, shortForm, Mirek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mirek
Context triple: [Mirosław, shortForm, Mirek]
  • A. Milak
    Milak is a border town in India’s Uttar Pradesh state, known as a road-linked crossing point on the route to Afghanistan via Zaranj.
  • B. Miroslav chosen
    Miroslav is a common Slavic male given name, notably borne by Slovak ice hockey star Miroslav Šatan.
  • C. Jiri
    Jiri is a small town in eastern Nepal that serves as a traditional starting point for overland treks into the Everest region.
  • D. 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.
  • E. Michal
    Michal is a biblical figure, a daughter of King Saul who became the first wife of King David in the Hebrew Bible.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e453695734819092d4dcbab4a4fa01 completed April 19, 2026, 4 a.m.
Created at: April 10, 2026, 5:49 a.m.