Triple

T4039011
Position Surface form Disambiguated ID Type / Status
Subject Francesca E83896 entity
Predicate etymologyRoot P5801 FINISHED
Object Latin Franciscus E14156 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: Latin Franciscus | Statement: [Francesca, etymologyRoot, Latin Franciscus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latin Franciscus
Context triple: [Francesca, etymologyRoot, Latin Franciscus]
  • A. Latin Aegidius
    Latin Aegidius is a Latin given name, historically associated with Saint Giles, from which the name "Gil" is etymologically derived.
  • B. Renatus of Rome
    Renatus of Rome was a 5th-century Roman cleric who served as a papal legate representing the authority of the bishop of Rome in major ecclesiastical affairs.
  • C. Francis
    Francis is the given first name of Daley Thompson, the celebrated British decathlete and double Olympic gold medalist.
  • D. Francis chosen
    Francis is the papal name of the current head of the Roman Catholic Church, known for his emphasis on humility, social justice, and interfaith dialogue.
  • E. Francis
    Francis is the tough yet sensitive ladybug character from Pixar's animated film "A Bug's Life."
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb37e24c81908d6357ab8ba5388d completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55646e5d881909eadd0640a4f1796 completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:37 p.m.