Triple

T19999504
Position Surface form Disambiguated ID Type / Status
Subject Arthur Adamov E494279 entity
Predicate familyName P18 FINISHED
Object Adamov 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: Adamov | Statement: [Arthur Adamov, familyName, Adamov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adamov
Context triple: [Arthur Adamov, familyName, Adamov]
  • A. Adamov chosen
    Adamov is a small industrial town in the South Moravian Region of the Czech Republic, situated in a forested valley north of Brno.
  • B. Adamovich
    Adamovich is a Slavic surname borne by various notable figures, including Russian poet and literary critic Georgy Adamovich.
  • C. Radek
    Radek is a masculine given name commonly used in Slavic countries, particularly the Czech Republic and Poland.
  • D. Olbramov
    Olbramov is a small municipality and village in the Plzeň Region of the Czech Republic.
  • E. Laco Adamik
    Laco Adamik is a Slovak film and television director known for his work in Central European cinema and television production.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a09bdc819083305b08a11c6e34 completed April 20, 2026, 5:25 p.m.
Created at: April 11, 2026, 3:32 p.m.