Triple
T16225835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medusa Steel Coaster |
E393841
|
entity |
| Predicate | conversionFrom |
P5574
|
FINISHED |
| Object | Medusa |
E612971
|
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: [Medusa Steel Coaster, conversionFrom, Medusa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medusa Context triple: [Medusa Steel Coaster, conversionFrom, Medusa]
-
A.
Medusa
chosen
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.
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 (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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d25f8bc81909aa59b794a528db2 |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00079c4184819091d3355a5afaeced |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.