Triple

T8270592
Position Surface form Disambiguated ID Type / Status
Subject Lipinski E193417 entity
Predicate hasNotableBearer P458 FINISHED
Object Karol Lipiński E436569 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: Karol Lipiński | Statement: [Lipinski, hasNotableBearer, Karol Lipiński]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karol Lipiński
Context triple: [Lipinski, hasNotableBearer, Karol Lipiński]
  • A. Karol Lipiński chosen
    Karol Lipiński was a prominent 19th-century Polish violinist and composer renowned as one of the leading virtuosos of his time.
  • B. Michał Kwieciński
    Michał Kwieciński is a Polish film and television producer and director known for his work on historically themed and socially engaged Polish cinema.
  • C. Grzegorz Napieralski
    Grzegorz Napieralski is a Polish left-wing politician who served as a prominent leader of the Democratic Left Alliance and a member of the Polish parliament and European Parliament.
  • D. Marek Janowski
    Marek Janowski is a renowned Polish-born German conductor particularly celebrated for his interpretations of the German Romantic and Wagnerian operatic repertoire.
  • E. Andrzej Bartkowiak
    Andrzej Bartkowiak is a Polish-American cinematographer and film director known for his work on major Hollywood action and comedy films.
  • 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_69ca82e14ae481908ffdb822cd2192bc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb795243fc8190a66afef7476e1147 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68470f8481909df50c5b6c3cf50c completed April 1, 2026, 6:47 p.m.
Created at: March 30, 2026, 5:50 p.m.