Triple

T3193195
Position Surface form Disambiguated ID Type / Status
Subject Roxana E66871 entity
Predicate isDistinctFrom P1612 FINISHED
Object Roxane (as a specific spelling) E66065 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: Roxane (as a specific spelling) | Statement: [Roxana, isDistinctFrom, Roxane (as a specific spelling)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roxane (as a specific spelling)
Context triple: [Roxana, isDistinctFrom, Roxane (as a specific spelling)]
  • A. Roxane chosen
    Roxane is a historical figure traditionally identified as a daughter of Cyrus the Great, the founder of the Achaemenid Persian Empire.
  • B. Roxane
    Roxane is a feminine given name, best known today through figures such as writer and cultural critic Roxane Gay.
  • C. Roxana
    Roxana is a feminine given name of Persian origin, historically associated with figures such as the wife of Alexander the Great and later borne by various notable women.
  • D. Romeyka
    Romeyka is an endangered Greek dialect spoken mainly in northeastern Turkey, notable for preserving many archaic features of Ancient Greek.
  • E. Laetitia
    Laetitia is a feminine given name of Latin origin, historically borne by figures such as the English poet and essayist Anna Laetitia Barbauld.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada713bf0c81908f3143f45f63a5ad completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24ba8a8b48190824dac45e37217cc completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.