Triple

T16284193
Position Surface form Disambiguated ID Type / Status
Subject Antoni Łomnicki E395346 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 Łomnicki, givenName, Antoni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antoni
Context triple: [Antoni Łomnicki, 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24912c5808190a0d9c9f491315068 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c8f51c8190b73cdf2834eda57f completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.