Triple

T11098569
Position Surface form Disambiguated ID Type / Status
Subject Feliciano E262441 entity
Predicate isRelatedName P3889 FINISHED
Object Felix E50326 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: Felix | Statement: [Feliciano, isRelatedName, Felix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Felix
Context triple: [Feliciano, isRelatedName, Felix]
  • A. Felix chosen
    Felix is a masculine given name of Latin origin meaning "happy" or "fortunate," borne by numerous historical and contemporary figures.
  • B. Felice
    Felice is a comic character from the classic French farce "Il cappello di paglia di Firenze" (The Florentine Straw Hat), typically involved in the play’s intricate misunderstandings and humorous situations.
  • C. Felix Fox
    Felix Fox was an influential early 20th-century pianist and music educator known for his contributions to classical music performance and pedagogy in the United States.
  • D. Feli
    Feli is a common short form or nickname for the given name Felicia.
  • E. Felici
    Felici is an Italian surname associated with figures such as Cardinal Pericle Felici, a prominent 20th-century prelate of the Catholic Church.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a0b2890819081c4efc50e995cdd completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5427918f08190ac1fdf3e0aff036f completed April 19, 2026, 9 p.m.
Created at: April 8, 2026, 9:27 p.m.