Triple

T17047036
Position Surface form Disambiguated ID Type / Status
Subject Jonasz Szlichtyng E413596 entity
Predicate givenName P17 FINISHED
Object Jonasz E413596 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: Jonasz | Statement: [Jonasz Szlichtyng, givenName, Jonasz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonasz
Context triple: [Jonasz Szlichtyng, givenName, Jonasz]
  • A. Janusz
    Janusz is a masculine given name of Polish origin commonly used in Poland and among Polish communities.
  • B. Jacek
    Jacek is a common Polish male given name, often associated with notable figures in Polish politics, arts, and academia.
  • C. Jonasz Szlichtyng chosen
    Jonasz Szlichtyng was a 17th-century Polish Arian theologian and writer known for his influential works defending nontrinitarian beliefs.
  • D. Szymon
    Szymon is a masculine given name of Hebrew origin, commonly used in Poland and other Slavic countries as a variant of Simon.
  • E. Jarek
    Jarek is a masculine given name, commonly used in Slavic countries, often as a diminutive or variant of names like Jarosław.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3da9e3d8881909f197aba0e4c97e7 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ed472d48190bc6aed49464dc1ff completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.