Triple

T23088396
Position Surface form Disambiguated ID Type / Status
Subject Josan E575675 entity
Predicate hasComponentName P24447 FINISHED
Object Antonio NE NERFINISHED

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: [Josan, hasComponentName, Antonio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antonio
Context triple: [Josan, hasComponentName, Antonio]
  • A. Antonio
    Antonio is a minor but morally upright courtier in the Jacobean revenge tragedy "The Revenger's Tragedy," serving as a foil to the play’s corruption and vice.
  • B. Antonio
    Antonio is a character in Luigi Cherubini’s opera "Les deux journées," serving as a key figure in the work’s dramatic plot.
  • C. Antonio
    Antonio is a masculine given name of Latin origin, widely used in Italian, Spanish, and Portuguese-speaking cultures.
  • D. Antonio
    Antonio is a minor character who appears in the subplot of the early 17th-century tragedy "The Changeling" by Thomas Middleton and William Rowley.
  • E. Antonio
    Antonio is the melancholic Venetian merchant who serves as the title character and central figure in William Shakespeare’s play "The Merchant of Venice."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da7c54c81908b62d04ab1811b06 completed April 29, 2026, 4:48 a.m.
Created at: April 17, 2026, 3:57 p.m.