Triple

T20583536
Position Surface form Disambiguated ID Type / Status
Subject Sławomir Petelicki E505723 entity
Predicate name P16 FINISHED
Object Sławomir Petelicki 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: Sławomir Petelicki | Statement: [Sławomir Petelicki, name, Sławomir Petelicki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sławomir Petelicki
Context triple: [Sławomir Petelicki, name, Sławomir Petelicki]
  • A. Sławomir Petelicki chosen
    Sławomir Petelicki was a Polish brigadier general and intelligence officer best known for creating and leading Poland’s elite special forces unit GROM.
  • B. Sławomir Wojciechowski
    Sławomir Wojciechowski is a Polish individual notable enough to be recognized as a prominent bearer of the given name Sławomir, likely for achievements in his professional field.
  • C. Jerzy Piekarski
    Jerzy Piekarski is a person notable enough to be recognized as a namesake of the surname Piekarski, though specific widely known biographical details are not clearly established.
  • D. Wojciech Piekarski
    Wojciech Piekarski is a Polish individual notable enough to be recognized as a namesake of the surname Piekarski.
  • E. Aleksander Pełczyński
    Aleksander Pełczyński was a prominent Polish mathematician known for his influential work in functional analysis, particularly in the theory of Banach spaces.
  • 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a974ee4c819099310b46885a5597 completed April 20, 2026, 10:32 p.m.
Created at: April 16, 2026, 11:40 a.m.