Triple

T5693255
Position Surface form Disambiguated ID Type / Status
Subject Tony Mendez E125475 entity
Predicate givenName P17 FINISHED
Object Antonio E56351 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: Antonio | Statement: [Tony Mendez, givenName, Antonio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antonio
Context triple: [Tony Mendez, givenName, Antonio]
  • A. Antonio chosen
    Antonio is a masculine given name of Latin origin, widely used in Italian, Spanish, and Portuguese-speaking cultures.
  • B. Salanio
    Salanio is a minor character in Shakespeare's play "The Merchant of Venice," one of Antonio's friends who often provides commentary on the unfolding events.
  • C. Antonio and Mellida
    Antonio and Mellida is an Elizabethan tragicomedy play by John Marston, noted for its satirical tone and complex exploration of love, identity, and courtly intrigue.
  • D. Antonio Vandone di Cortemilia
    Antonio Vandone di Cortemilia was an Italian architect known for designing the Mogadishu Cathedral in Somalia during the colonial era.
  • E. Gratiano
    Gratiano is a lively, talkative friend of Bassanio in Shakespeare’s play "The Merchant of Venice," known for his wit, humor, and sometimes insensitive remarks.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e7dbe48190850b501f223614e3 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a4f2bfc8190bc56c094f9ae9ce1 completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:44 p.m.