Triple

T19397538
Position Surface form Disambiguated ID Type / Status
Subject Tomasz Blatt E485232 entity
Predicate name P16 FINISHED
Object Tomasz Blatt 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: Tomasz Blatt | Statement: [Tomasz Blatt, name, Tomasz Blatt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tomasz Blatt
Context triple: [Tomasz Blatt, name, Tomasz Blatt]
  • A. Tomasz Blatt chosen
    Tomasz Blatt was a Polish-Jewish Holocaust survivor, writer, and lecturer best known for his role in and later accounts of the 1943 Sobibor extermination camp uprising.
  • B. Tomasz Konior
    Tomasz Konior is a Polish architect best known for designing prominent cultural and concert venues, including the acclaimed NOSPR concert hall in Katowice.
  • C. Tomasz Wolff
    Tomasz Wolff is a mathematician known for his influential contributions to harmonic analysis and partial differential equations.
  • D. Tomasz Pająk
    Tomasz Pająk is a person notable enough to be recognized as a prominent bearer of the Polish surname Pająk.
  • E. Piotr Szulczewski
    Piotr Szulczewski is a Polish-Canadian entrepreneur and computer engineer best known as the co-founder and former CEO of the e-commerce platform Wish.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62574edd08190b5456108d5e3907e completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.