Triple

T11989115
Position Surface form Disambiguated ID Type / Status
Subject Feliks Kon E285358 entity
Predicate givenName P17 FINISHED
Object Feliks E262438 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: Feliks | Statement: [Feliks Kon, givenName, Feliks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Feliks
Context triple: [Feliks Kon, givenName, Feliks]
  • A. Feliks chosen
    Feliks is a given name, commonly used in Slavic and other European languages, that corresponds to the name Felix.
  • B. Ludwik
    Ludwik is a given name, primarily used in Polish, that corresponds to the name Ludwig in other European languages.
  • C. Janusz
    Janusz is a masculine given name of Polish origin commonly used in Poland and among Polish communities.
  • D. Ignacy
    Ignacy is a masculine given name of Polish origin, historically borne by several notable figures including scientists, politicians, and religious leaders.
  • E. Jacek
    Jacek is a common Polish male given name, often associated with notable figures in Polish politics, arts, and academia.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903ae28708190a826bad1624343eb completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f634515d20819094c9bc4f2c7cda8a completed May 2, 2026, 5:28 p.m.
Created at: April 8, 2026, 9:46 p.m.