Triple
T10582456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aether |
E249768
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Chaos |
E18790
|
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: Chaos | Statement: [Aether, sibling, Chaos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaos Context triple: [Aether, sibling, Chaos]
-
A.
Chaos
"Chaos" is a French film featuring Rachida Brakni in a critically acclaimed role that significantly raised her profile as an actress.
-
B.
Chaos
Chaos is the nickname of Colby Covington, an American mixed martial artist known for his outspoken persona and success in the UFC welterweight division.
-
C.
Chaos
Chaos is a powerful, water-based creature and major antagonist from the Sonic the Hedgehog series, known for transforming through the power of the Chaos Emeralds.
-
D.
Chaos
chosen
Chaos is the primordial void or yawning gap in ancient Greek cosmology, from which the first gods and elements of the universe emerged.
-
E.
Chaos
Chaos is a renowned photography book by Josef Koudelka that presents a powerful, wide-ranging collection of his panoramic black-and-white images capturing fragmented landscapes and human-altered environments.
- 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_69d94b78ff28819085acf84418d54733 |
completed | April 10, 2026, 7:11 p.m. |
Created at: April 6, 2026, 12:39 p.m.