Triple
T22022463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masters of the Universe |
E543876
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Eternia |
—
|
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: Eternia | Statement: [Masters of the Universe, setting, Eternia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eternia Context triple: [Masters of the Universe, setting, Eternia]
-
A.
Eternia
Eternia is a character known for being part of the Justus League, a group of heroes in the relevant fictional universe.
-
B.
Eternia
chosen
Eternia is the fictional, magic-infused homeworld of He-Man and other characters in the Masters of the Universe franchise.
-
C.
Ylisse
Ylisse is a central kingdom and setting in the game Fire Emblem Awakening, ruled by the royal family to which Lucina belongs.
-
D.
Aetheria
Aetheria is a mythological-sounding figure likely associated with ethereal or sky-related qualities, often imagined within fantasy or classical-inspired narratives.
-
E.
Erath
Erath is a surname most notably associated with George Bernard Erath, a 19th-century Texas surveyor, soldier, and politician.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c8ac6881909a9e96e0873a3ae2 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:23 p.m.