Triple

T14688027
Position Surface form Disambiguated ID Type / Status
Subject Hadestown E344963 entity
Predicate featuresCharacter P626 FINISHED
Object Persephone E23576 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: Persephone | Statement: [Hadestown, featuresCharacter, Persephone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Persephone
Context triple: [Hadestown, featuresCharacter, Persephone]
  • A. Persephone chosen
    Persephone is the Greek goddess of spring and queen of the underworld, known for her abduction by Hades and her role in the myth explaining the seasons.
  • B. Demeter
    Demeter is the ancient Greek goddess of agriculture, grain, and the fertility of the earth, central to the Eleusinian Mysteries and the myth of Persephone.
  • C. Persephassa
    Persephassa is a landmark 1969 percussion composition by Iannis Xenakis, renowned for its innovative spatialization of six percussionists surrounding the audience.
  • D. Euphrosyne
    Euphrosyne is one of the Three Graces in Greek mythology, embodying joy, mirth, and festivity.
  • E. Euphrosyne
    Euphrosyne was a Byzantine empress consort and later nun, known as the daughter of Emperor Constantine VI and for her influential role in the imperial court during the early 9th century.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb58306548190b981956a83a84b95 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde1876fdc81908a4fe3deebb7ff83 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:28 a.m.