Triple

T16551636
Position Surface form Disambiguated ID Type / Status
Subject Mateusz Dróżdż E402084 entity
Predicate knownAs P39 FINISHED
Object Mateusz Dróżdż E402084 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: Mateusz Dróżdż | Statement: [Mateusz Dróżdż, knownAs, Mateusz Dróżdż]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mateusz Dróżdż
Context triple: [Mateusz Dróżdż, knownAs, Mateusz Dróżdż]
  • A. Mateusz Dróżdż chosen
    Mateusz Dróżdż is a Polish football executive best known for serving as chairman of the historic club Widzew Łódź.
  • B. Radosław Majdan
    Radosław Majdan is a retired Polish goalkeeper and media personality who played for clubs including Pogoń Szczecin and represented Poland at international level.
  • C. Maciej Żurawski
    Maciej Żurawski is a retired Polish professional footballer best known as a prolific striker for clubs like Wisła Kraków and Celtic and for his significant contributions to the Poland national team.
  • D. Maciej Mielżyński
    Maciej Mielżyński was a Polish nobleman and military commander known for his prominent role in 19th-century Polish national uprisings against foreign rule.
  • E. Radosław Dobrowolski
    Radosław Dobrowolski is a Polish academic and administrator who serves as the rector of Maria Curie-Skłodowska University in Lublin.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fc56f9081908bb8f6433a1a688d completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a009d2bbe9c81909031d79f93faca6a completed May 10, 2026, 2:58 p.m.
Created at: April 10, 2026, 5:15 a.m.