Triple

T8377540
Position Surface form Disambiguated ID Type / Status
Subject Lex Titia E197612 entity
Predicate hasLatinName P3646 FINISHED
Object Lex Titia E197612 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: Lex Titia | Statement: [Lex Titia, hasLatinName, Lex Titia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lex Titia
Context triple: [Lex Titia, hasLatinName, Lex Titia]
  • A. Lex Titia chosen
    Lex Titia was a Roman law enacted in 43 BC that formally established the Second Triumvirate of Octavian, Mark Antony, and Lepidus with extraordinary powers over the Roman state.
  • B. Livias
    Livias was an ancient town in the region of Perea, east of the Jordan River, known from classical and biblical-era sources.
  • C. David Tiberius
    David Tiberius was a lesser-known Byzantine prince of the 7th century, notable mainly as a son of Emperor Heraclius during a turbulent period of imperial succession.
  • D. Cornelia
    Cornelia is a feminine given name of Latin origin, historically associated with several notable women in European history.
  • E. Joseph Calleia
    Joseph Calleia was a Maltese-American character actor known for his distinctive voice and frequent roles as villains or tough figures in Hollywood films of the 1930s and 1940s.
  • 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_69ca82f64c188190af4e1608036b865d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80c229708190b813f5e7e44e10d4 completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce02b4d840819090a0eaadaff9c9f9 completed April 2, 2026, 5:46 a.m.
Created at: March 30, 2026, 6:02 p.m.