Triple

T13441982
Position Surface form Disambiguated ID Type / Status
Subject Jacek E320384 entity
Predicate hasVariant P455 FINISHED
Object Jacek (English transliteration) E320384 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: Jacek (English transliteration) | Statement: [Jacek, hasVariant, Jacek (English transliteration)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacek (English transliteration)
Context triple: [Jacek, hasVariant, Jacek (English transliteration)]
  • A. Jacek chosen
    Jacek is a common Polish male given name, often associated with notable figures in Polish politics, arts, and academia.
  • B. Jarek
    Jarek is a masculine given name, commonly used in Slavic countries, often as a diminutive or variant of names like Jarosław.
  • C. Janek
    Janek is the gruff but good-natured captain of the spaceship Prometheus in Ridley Scott’s 2012 science fiction film.
  • D. Jerzy
    Jerzy is a masculine given name of Slavic origin, particularly common in Poland as the equivalent of George.
  • E. Sławek
    Sławek is a Polish surname most notably borne by Walery Sławek, a prominent early 20th-century Polish politician and close associate of Józef Piłsudski.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee704ac8190b4c7f4e0d3a88494 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7399421908190a7750e37c89a73f6 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:40 p.m.