Triple
T10582739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oizys |
E249775
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Oneiroi |
E249773
|
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: Oneiroi | Statement: [Oizys, sibling, Oneiroi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oneiroi Context triple: [Oizys, sibling, Oneiroi]
-
A.
Oneiroi
chosen
Oneiroi are the personified spirits of dreams in Greek mythology, often depicted as shadowy figures who visit sleepers with visions of the night.
-
B.
Onir
Onir is an Indian film director, editor, and producer best known for his critically acclaimed independent films that often explore LGBTQ+ themes and social issues.
-
C.
Songes
Songes is a literary work by Swedish Romantic writer Carl Jonas Love Almqvist, reflecting his characteristic blend of imaginative prose and poetic expression.
-
D.
Sogno
Sogno is a best-selling 1999 pop-classical album by Italian tenor Andrea Bocelli that helped cement his international fame.
-
E.
Rêve
"Rêve" is an atmospheric, synthesizer-driven instrumental track by Vangelis from his 1979 album Opera Sauvage, noted for its dreamy, meditative mood.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52766d53c8190b51753768ab58c31 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b59f80c81908afa84e4d9ffefc1 |
completed | April 10, 2026, 9:27 p.m. |
Created at: April 6, 2026, 12:39 p.m.