Triple

T3795272
Position Surface form Disambiguated ID Type / Status
Subject Antoni Gaudí E89754 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 Gaudí, givenName, Antoni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antoni
Context triple: [Antoni Gaudí, givenName, Antoni]
  • A. Antoni chosen
    Antoni is a masculine given name of Latin origin, commonly used in Poland and other European countries.
  • B. 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."
  • C. Antoni Pająk
    Antoni Pająk was a Polish socialist politician who served as prime minister of the Polish government-in-exile after World War II.
  • D. Amadeo
    Amadeo is a small agricultural municipality in the province of Cavite in the Philippines, known particularly for its coffee production.
  • E. Romeu de Corbera
    Romeu de Corbera was a medieval Catalan nobleman known for his role in the dynastic negotiations that resolved the Aragonese succession crisis in the early 15th century.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee79db2e88190b3aa2b8e8d885e19 completed March 9, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f05c0f908190b5638e75b06dab4d completed March 14, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:15 p.m.