Triple

T10583127
Position Surface form Disambiguated ID Type / Status
Subject Phorcys E249784 entity
Predicate parentOf P120 FINISHED
Object Medusa E138593 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: Medusa | Statement: [Phorcys, parentOf, Medusa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medusa
Context triple: [Phorcys, parentOf, Medusa]
  • A. Medusa
    Medusa is a floorless steel roller coaster at Six Flags Discovery Kingdom known for its multiple inversions and smooth, high-speed layout.
  • B. 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.
  • C. Medusa
    Medusa is a covert black-ops program within the Jason Bourne film universe, central to the conspiracy and government corruption revealed in "The Bourne Ultimatum."
  • D. 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.
  • E. Gorgons chosen
    The Gorgons are monstrous sisters from Greek mythology, most famously including Medusa, whose petrifying gaze could turn onlookers to stone.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d52767d2e0819099511e29e254bc34 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b78ff28819085acf84418d54733 completed April 10, 2026, 7:11 p.m.
Created at: April 6, 2026, 12:39 p.m.