Triple

T1680632
Position Surface form Disambiguated ID Type / Status
Subject César E36329 entity
Predicate hasCognate P2525 FINISHED
Object César (French form) E36329 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: César (French form) | Statement: [César, hasCognate, César (French form)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: César (French form)
Context triple: [César, hasCognate, César (French form)]
  • A. César chosen
    César is a masculine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries and derived from the Roman family name Caesar.
  • B. Cesar
    Cesar is a given name and surname used in various languages, commonly associated with the historical legacy of "Caesar" and borne by numerous notable figures in politics, arts, and sports.
  • C. Julius
    Julius is the first given name of J. Robert Oppenheimer, the American theoretical physicist known as the "father of the atomic bomb."
  • D. Julius
    Julius is the family name (nomen) of the ancient Roman Julian clan, most famously borne by figures such as Gaius Julius Caesar and later adopted by emperors like Tiberius as part of their imperial identity.
  • E. Julius
    Julius is the main character of Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," navigating a post-scarcity future society centered around a radically transformed Disney World.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa626208088190be60eae294cea294 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad798dbf248190b4f8a8a8a6ee75cf completed March 8, 2026, 1:28 p.m.
Created at: March 4, 2026, 7:29 p.m.