Triple
T18773213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurora |
E459066
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Theia |
—
|
NE NERFINISHED |
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: Theia | Statement: [Aurora, parent, Theia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theia Context triple: [Aurora, parent, Theia]
-
A.
Theia
chosen
Theia is a Titaness from Greek mythology associated with sight and the shining light of the clear blue sky, and is the mother of Helios, Selene, and Eos.
-
B.
Theia
Theia is an extensible, cloud- and desktop-ready integrated development environment (IDE) framework designed to support modern, language-server-based tooling.
-
C.
Leonae
Leonae is a variant form of the given name Leona, typically used as a feminine personal name.
-
D.
Gaia
Gaia is a fictional planet in Isaac Asimov’s Foundation universe, notable for its unique group consciousness that links all living and non-living matter into a single sentient entity.
-
E.
Gaia
Gaia is a European Space Agency space observatory designed to create the most precise 3D map of the Milky Way by measuring the positions, distances, and motions of over a billion stars.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e593378a4081909cc1b0856fce7d7d |
completed | April 20, 2026, 2:45 a.m. |
Created at: April 10, 2026, 11:52 a.m.