Triple
T6592766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mimas |
E148401
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Mimas (mythology) |
E488293
|
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: Mimas (mythology) | Statement: [Mimas, namedAfter, Mimas (mythology)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mimas (mythology) Context triple: [Mimas, namedAfter, Mimas (mythology)]
-
A.
Ganymede (mythology)
Ganymede (mythology) is a divine hero in Greek myth, a beautiful Trojan prince abducted by Zeus to serve as cupbearer to the gods on Mount Olympus.
-
B.
Deimos (mythology)
Deimos (mythology) is the Greek personification of terror and dread, a son of Ares and Aphrodite who often accompanies his father into battle.
-
C.
Coeus
Coeus is a Titan from Greek mythology, associated with intelligence and the axis of the heavens, who fought against the Olympian gods.
-
D.
Mimas
Mimas is a small, heavily cratered icy moon of Saturn best known for its large Herschel crater, which gives it a distinctive "Death Star"-like appearance.
-
E.
Mimas
chosen
Mimas is a giant from Greek mythology, often depicted as one of the monstrous offspring of Gaia who fought the Olympian gods in the Gigantomachy.
- 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aecf50ac81909cb9960c8265a7ea |
completed | March 27, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d57bde388190919ff6820e1b9610 |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:55 p.m.