Triple

T21252199
Position Surface form Disambiguated ID Type / Status
Subject Future Foundation E523771 entity
Predicate member P10 FINISHED
Object Medusa 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: Medusa | Statement: [Future Foundation, member, Medusa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medusa
Context triple: [Future Foundation, member, Medusa]
  • A. 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.
  • B. Medusa
    Medusa is a floorless steel roller coaster at Six Flags Discovery Kingdom known for its multiple inversions and smooth, high-speed layout.
  • C. Medusa chosen
    Medusa is a Marvel Comics character best known as the red-haired queen of the Inhumans whose prehensile hair serves as her primary superpower.
  • D. 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."
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359f5b408190b951adddba83c97a completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:57 p.m.