Triple
T1000475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neptune |
E21590
|
entity |
| Predicate | moon |
P2034
|
FINISHED |
| Object | Nereid |
E53841
|
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: Nereid | Statement: [Neptune, moon, Nereid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nereid Context triple: [Neptune, moon, Nereid]
-
A.
Amphicleia
Amphicleia was an ancient Greek city in the region of Phocis, known from classical sources for its strategic and regional significance.
-
B.
Arethusa
chosen
Arethusa is one of the Hesperides, the nymphs of Greek mythology associated with a blissful western garden and its golden apples.
-
C.
Marpessa
Marpessa is a figure in Greek mythology known as a mortal woman whose beauty led to a famous love contest between the god Apollo and the hero Idas.
-
D.
Scylla
Scylla is a fearsome sea monster from Greek mythology, often depicted with multiple heads and dwelling in a narrow strait opposite the whirlpool Charybdis.
-
E.
Charybdis
Charybdis is a monstrous sea creature from Greek mythology, often depicted as a deadly whirlpool that threatens sailors alongside the monster Scylla.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7570b388190ada9693935792a58 |
completed | March 1, 2026, 10:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac428ba1d88190bd2fd9d3de699291 |
completed | March 7, 2026, 3:21 p.m. |
Created at: March 1, 2026, 7:41 p.m.