Triple
T2383658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asia |
E46367
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Eurynome |
unclear NED1
|
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: Eurynome | Statement: [Asia, sibling, Eurynome]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eurynome Context triple: [Asia, sibling, Eurynome]
-
A.
Clymene
Clymene is a figure in Greek mythology, often depicted as an Oceanid or Titaness associated with light or fame and known as the wife or consort of the Titan Iapetus.
-
B.
Asteria
Asteria is a figure in Greek mythology, a Titaness associated with falling stars and nocturnal divination.
-
C.
Hypermnestra
Hypermnestra is a figure in Greek mythology, best known as one of the Danaids who spared her husband’s life and was consequently honored for her mercy and piety.
-
D.
Alcione
Alcione is the nickname of the Italian World War II-era Cant Z.1007 medium bomber aircraft.
-
E.
Amphicleia
Amphicleia was an ancient Greek city in the region of Phocis, known from classical sources for its strategic and regional significance.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7bafa248190a68e8f1e081f4817 |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8b790bc8190ba399e252acec750 |
completed | March 9, 2026, 11:02 a.m. |
Created at: March 4, 2026, 7:57 p.m.