Triple

T16626054
Position Surface form Disambiguated ID Type / Status
Subject Antoni Rudolf Bazyli Colonna-Walewski E403947 entity
Predicate givenName P17 FINISHED
Object Antoni E36235 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: Antoni | Statement: [Antoni Rudolf Bazyli Colonna-Walewski, givenName, Antoni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antoni
Context triple: [Antoni Rudolf Bazyli Colonna-Walewski, givenName, Antoni]
  • A. Antoni chosen
    Antoni is a masculine given name of Latin origin, commonly used in Poland and other European countries.
  • B. Antón
    Antón is a town and district capital in central Panama known for its agricultural economy and proximity to natural attractions such as mountains and hot springs.
  • C. Antoni Corone
    Antoni Corone is an American character actor known for his tough-guy roles in crime dramas and films such as "We Own the Night."
  • D. Antoni Muntadas
    Antoni Muntadas is a Spanish multidisciplinary artist known for his critical explorations of media, power, and public space through conceptual and installation art.
  • E. Jaime Marquet
    Jaime Marquet was an 18th-century French architect active in Spain, known for his neoclassical public buildings commissioned under King Charles III.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e375530ed081908337dc5c6360d733 completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dba91bc819090a78ac4c0c01fc8 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.