Triple

T750800
Position Surface form Disambiguated ID Type / Status
Subject Dionysus E15442 entity
Predicate parent P120 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: [Dionysus, parent, Persephone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Persephone
Context triple: [Dionysus, parent, 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. Nyx
    Nyx is the primordial Greek goddess of the night, a powerful and ancient deity from whom many other gods and personified forces descend.
  • D. Daphne
    Daphne is a nymph from Greek mythology best known for being pursued by Apollo and transformed into a laurel tree to escape him.
  • E. Hecate
    Hecate is a Greek goddess associated with magic, crossroads, the night, and liminal spaces, often depicted as a powerful and mysterious protector and guide.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a64adf2c81908e48090be35dd9d9 completed March 1, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d767e5c8190918d55df7528f465 completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:37 p.m.