Triple

T21302265
Position Surface form Disambiguated ID Type / Status
Subject Eric Sigler E525096 entity
Predicate coAuthorWith P398 FINISHED
Object Mateusz Litwin 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: Mateusz Litwin | Statement: [Eric Sigler, coAuthorWith, Mateusz Litwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mateusz Litwin
Context triple: [Eric Sigler, coAuthorWith, Mateusz Litwin]
  • A. Mateusz Litwin
    Mateusz Litwin is a computer scientist and researcher known for co-authoring influential work in artificial intelligence and machine learning alongside Benjamin Chess.
  • B. Mateusz Litwin
    Mateusz Litwin is a researcher known for co-authoring influential work in large-scale machine learning and language models alongside Tom B. Brown.
  • C. Mateusz Dróżdż
    Mateusz Dróżdż is a Polish football executive best known for serving as chairman of the historic club Widzew Łódź.
  • D. Maciej Rataj
    Maciej Rataj was a prominent Polish politician and statesman, twice acting President of Poland during the interwar period and a leading figure of the Polish People's Party.
  • 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. chosen

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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385cd6308190bf300494833b048f completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:05 p.m.