Triple
T17546182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Eternal |
E427328
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Sacred Trickster |
—
|
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: Sacred Trickster | Statement: [The Eternal, hasSingle, Sacred Trickster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sacred Trickster Context triple: [The Eternal, hasSingle, Sacred Trickster]
-
A.
Sacred Trickster
chosen
"Sacred Trickster" is a song by the experimental metal band Gojira, featured on their 2008 album "The Way of All Flesh."
-
B.
The Sacred
The Sacred is a horror film known for its supernatural themes and eerie atmosphere.
-
C.
Sacred Monsters
Sacred Monsters is a contemporary dance production featuring renowned ballerina Sylvie Guillem in a series of innovative duets that explore the boundaries between classical ballet and modern choreography.
-
D.
Trickster
Trickster is the codename of Persona 5’s rebellious protagonist, a phantom thief who leads the fight against societal corruption in the Metaverse.
-
E.
Trickster
Trickster is a comic-book supervillain from DC Comics, best known as an enemy of the Flash and for his chaotic, prank-based crimes.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45461643881909b106bafb89253b3 |
completed | April 19, 2026, 4:04 a.m. |
Created at: April 10, 2026, 5:49 a.m.