Triple

T16810801
Position Surface form Disambiguated ID Type / Status
Subject Adrian’s Restaurant E408601 entity
Predicate namedAfter P63 FINISHED
Object Adrian Balboa E84005 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: Adrian Balboa | Statement: [Adrian’s Restaurant, namedAfter, Adrian Balboa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adrian Balboa
Context triple: [Adrian’s Restaurant, namedAfter, Adrian Balboa]
  • A. Adrian Balboa chosen
    Adrian Balboa is a central character in the Rocky film series, known as Rocky Balboa’s devoted wife and emotional anchor throughout his boxing career.
  • B. Antonio de Montoya
    Antonio de Montoya was a Spanish Franciscan missionary and chronicler known for his work among Indigenous peoples in colonial South America.
  • C. Poncho Ramirez
    Poncho Ramirez is a character from the Predator franchise, typically depicted as a skilled and battle-hardened member of an elite military team.
  • D. Armando Diaz
    Armando Diaz was an Italian general best known for leading Italy to victory on the Italian Front during World War I, particularly at the Battle of Vittorio Veneto.
  • E. Rafael Banquells
    Rafael Banquells was a Cuban-born Mexican actor and director known for his work in classic Mexican cinema and television.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2cf680c8190bcd640570c524918 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb0dce448190b20ca3d60d9fc475 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:23 a.m.