Triple

T13221700
Position Surface form Disambiguated ID Type / Status
Subject Sulpicius E314769 entity
Predicate memberOf P10 FINISHED
Object gens Sulpicia E314770 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 Sulpicia | Statement: [Sulpicius, memberOf, gens Sulpicia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: gens Sulpicia
Context triple: [Sulpicius, memberOf, gens Sulpicia]
  • A. gens Sulpicia chosen
    Gens Sulpicia was an ancient Roman patrician family that produced several notable politicians and magistrates during the Republic and early Empire.
  • B. Sulpicia
    Sulpicia is a high-ranking vampire in the Twilight series, known as one of the wives of the Volturi leaders and a member of their powerful ruling coven.
  • C. gens Scribonia
    Gens Scribonia was a plebeian family of ancient Rome known for producing several notable politicians and figures during the Republic and early Empire.
  • D. Terentia
    Terentia was the first wife of the Roman orator and statesman Cicero, known for her wealth, social influence, and involvement in his political and personal affairs.
  • E. Florus
    Florus was a Roman historian and rhetorician best known for his epitome of Roman history, which includes an account of the Third Servile War.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf581508190883033f0c961736a completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff2282fc8190bc5037ff62e594ff completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:18 p.m.