Triple

T21691646
Position Surface form Disambiguated ID Type / Status
Subject Callimaco E535383 entity
Predicate deceives P7322 FINISHED
Object Sostrata 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: Sostrata | Statement: [Callimaco, deceives, Sostrata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sostrata
Context triple: [Callimaco, deceives, Sostrata]
  • A. Sostrata chosen
    Sostrata is a character in Niccolò Machiavelli’s comedic play "The Mandrake," depicted as the mother of Lucrezia and a figure entangled in the play’s schemes surrounding fertility and deception.
  • B. Unisys
    Unisys is an American global information technology company known for providing IT services, software, and infrastructure solutions to government and commercial clients.
  • C. Azul Systems
    Azul Systems is a software company specializing in high-performance, scalable Java runtimes and JVM technologies for enterprise applications.
  • D. Perot Systems
    Perot Systems was an American information technology services and consulting company founded by Ross Perot that provided outsourcing, systems integration, and technology solutions to businesses and governments worldwide.
  • E. North Star Computers
    North Star Computers was an early microcomputer company best known for producing S-100 bus–based systems and floppy disk subsystems during the late 1970s and early 1980s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0c46a6ee481908836e1420fb78c9b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96d0d4048190abfc3e3e06c51b8d completed April 27, 2026, 5:03 p.m.
Created at: April 16, 2026, 6:45 p.m.