Triple

T11098516
Position Surface form Disambiguated ID Type / Status
Subject Feliz E262439 entity
Predicate hasCognate P2525 FINISHED
Object Félix 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: Félix | Statement: [Feliz, hasCognate, Félix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Félix
Context triple: [Feliz, hasCognate, Félix]
  • A. Felicio
    Felicio is a given name that functions as a variant form of the name Felix, sharing its Latin roots and connotations of happiness or good fortune.
  • B. Felix chosen
    Felix is a masculine given name of Latin origin meaning "happy" or "fortunate," borne by numerous historical and contemporary figures.
  • C. 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.
  • D. Gaspard
    Gaspard is a French masculine given name historically borne by notable figures such as nobles, military leaders, and artists.
  • E. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • 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_69e4cbfe70fc8190adf97e3ea7d06527 completed April 19, 2026, 12:35 p.m.
Created at: April 8, 2026, 9:27 p.m.