Triple

T2661313
Position Surface form Disambiguated ID Type / Status
Subject Claudian gens E54731 entity
Predicate hasLatinName P3646 FINISHED
Object gens Claudia E14367 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: gens Claudia | Statement: [Claudian gens, hasLatinName, gens Claudia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: gens Claudia
Context triple: [Claudian gens, hasLatinName, gens Claudia]
  • A. gens Cornelia
    Gens Cornelia was one of the most prominent and influential patrician families of ancient Rome, producing numerous famous statesmen and generals, including Scipio Africanus.
  • B. gens Aemilia
    Gens Aemilia was one of the most ancient and prestigious patrician families of the Roman Republic, producing numerous influential magistrates and statesmen.
  • C. Claudia chosen
    Claudia is a feminine given name used in various cultures, derived from the ancient Roman family name Claudius.
  • D. Claudia Octavia
    Claudia Octavia was a Roman empress and the first wife of Emperor Nero, known for her tragic fate amid Julio-Claudian court intrigues.
  • E. Milonia Caesonia
    Milonia Caesonia was the fourth wife of the Roman emperor Caligula, noted by ancient sources for her beauty, influence at court, and violent death alongside her husband in 41 CE.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd9504d10819091abc03532a2fa6d completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98d9d7148190841bac9589a3815b completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.