Triple

T20358346
Position Surface form Disambiguated ID Type / Status
Subject Facetiae E496709 entity
Predicate originalTitle P65 FINISHED
Object Facetiae NE NERFINISHED

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: Facetiae | Statement: [Facetiae, originalTitle, Facetiae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Facetiae
Context triple: [Facetiae, originalTitle, Facetiae]
  • A. Facetiae chosen
    Facetiae is a celebrated 15th-century collection of humorous and often bawdy Latin anecdotes and jokes by the Italian humanist Poggio Bracciolini.
  • B. Fibreno
    Fibreno is a river in the Ciociaria region of central Italy, known for its clear waters and natural beauty.
  • C. Gaulanitis
    Gaulanitis was an ancient region east of the Sea of Galilee, historically associated with the Golan area and mentioned in classical and biblical sources.
  • D. Daroobalgie
    Daroobalgie is a rural locality in the Central West region of New South Wales, Australia.
  • E. Docynia
    Docynia is a small genus of flowering plants in the rose family (Rosaceae), closely related to apples and pears and native to parts of Asia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67855c3a88190b88839a47d01184d completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:25 a.m.