Triple

T15849394
Position Surface form Disambiguated ID Type / Status
Subject Metamorphōsēs E384295 entity
Predicate containsStory P6847 FINISHED
Object Arachne E593907 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: Arachne | Statement: [Metamorphōsēs, containsStory, Arachne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arachne
Context triple: [Metamorphōsēs, containsStory, Arachne]
  • A. Arachne chosen
    Arachne is a figure from Greek mythology, famed as a masterful mortal weaver who challenged the goddess Athena and was transformed into a spider as punishment for her hubris.
  • B. Medusa
    Medusa is a famous monster from Greek mythology, typically depicted as a winged woman with snakes for hair whose gaze turns onlookers to stone.
  • C. Medusa
    Medusa is a famous painting by the Italian Baroque artist Caravaggio depicting the severed, snake-haired head of the Gorgon from Greek mythology at the moment of her death.
  • D. Medusa
    Medusa is a floorless steel roller coaster at Six Flags Discovery Kingdom known for its multiple inversions and smooth, high-speed layout.
  • E. Medusa
    Medusa is a Marvel Comics character best known as the red-haired queen of the Inhumans whose prehensile hair serves as her primary superpower.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14caa3fa481909bd01f3b901d7716 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa145f2dc819092db805806b6e1d5 completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.