Triple

T23127764
Position Surface form Disambiguated ID Type / Status
Subject Phorcides E577079 entity
Predicate siblingOf P363 FINISHED
Object Gorgons 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: Gorgons | Statement: [Phorcides, siblingOf, Gorgons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gorgons
Context triple: [Phorcides, siblingOf, Gorgons]
  • A. Gorgons chosen
    The Gorgons are monstrous sisters from Greek mythology, most famously including Medusa, whose petrifying gaze could turn onlookers to stone.
  • B. Gorgon
    Gorgon is a monstrous figure from Greek mythology, most famously represented by Medusa, whose gaze could turn onlookers to stone.
  • C. Gorgon
    Gorgon is a powerful Inhuman warrior known for his superhuman strength and seismic, shockwave-generating hooves, often serving as a key member of the Inhuman Royal Family.
  • D. Graeae
    The Graeae are three ancient Greek mythological sisters who share a single eye and tooth among them and are consulted by Perseus on his quest to defeat Medusa.
  • E. 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.
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e55aa38819092816ffc52e20dbe completed April 29, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:59 p.m.