Triple

T7729776
Position Surface form Disambiguated ID Type / Status
Subject Stefan Czarniecki E175220 entity
Predicate familyName P18 FINISHED
Object Czarniecki E175220 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: Czarniecki | Statement: [Stefan Czarniecki, familyName, Czarniecki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Czarniecki
Context triple: [Stefan Czarniecki, familyName, Czarniecki]
  • A. Czarniecki chosen
    Czarniecki refers to Stefan Czarniecki, a 17th-century Polish military commander and national hero celebrated for his role in defending the Polish–Lithuanian Commonwealth, notably during the Swedish Deluge.
  • B. Stefan Czarniecki
    Stefan Czarniecki was a 17th-century Polish nobleman and military commander renowned for his role in defending the Polish–Lithuanian Commonwealth during the Swedish Deluge and other conflicts.
  • C. Korzeniowski
    Korzeniowski is a Polish surname most notably borne by contemporary film and television composer Abel Korzeniowski.
  • D. Przytycki
    Przytycki is a mathematician known for significant contributions to knot theory and low-dimensional topology, including work related to the HOMFLY-PT polynomial.
  • E. Zawisza
    Zawisza is a Polish surname historically associated with several notable figures, including nobles, politicians, and cultural personalities.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703170650819095a1b073d67d231d completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be3244088190be26dec90db9cfb3 completed March 29, 2026, 5:52 a.m.
Created at: March 27, 2026, 4:06 p.m.