Triple
T19584880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Hot Minute |
E490082
|
entity |
| Predicate | coverArtDesigner |
P184
|
FINISHED |
| Object | Mark Ryden |
—
|
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: Mark Ryden | Statement: [One Hot Minute, coverArtDesigner, Mark Ryden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Ryden Context triple: [One Hot Minute, coverArtDesigner, Mark Ryden]
-
A.
Mark Ryden (artwork)
chosen
Mark Ryden (artwork) is the distinctive surrealist cover art created by pop-surrealist painter Mark Ryden, known for its intricate, whimsical, and often eerie imagery.
-
B.
Ben Templesmith
Ben Templesmith is an Australian comic book artist and writer best known for his distinctive, atmospheric horror artwork on titles such as "30 Days of Night" and "Fell."
-
C.
Alex Grey
Alex Grey is an American visionary artist best known for his intricate, spiritually themed paintings that explore human anatomy, consciousness, and transcendence.
-
D.
Victor Melling
Victor Melling is a refined, exacting beauty pageant coach and mentor featured in the comedy film "Miss Congeniality."
-
E.
Michael Ernst
Michael Ernst is a computer scientist known for his work in software engineering and programming languages, including research on type systems and software reliability.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64050127c8190b93b8716a1a4ad81 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.