Triple
T1940115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Severan dynasty |
E41532
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Geta |
E216966
|
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: Geta | Statement: [Severan dynasty, hasMember, Geta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geta Context triple: [Severan dynasty, hasMember, Geta]
-
A.
Geta
chosen
Geta was a short-reigning Roman emperor of the Severan dynasty, known for his joint rule and bitter rivalry with his brother Caracalla, who ultimately had him murdered.
-
B.
Usa Jingū
Usa Jingū is a prominent Shinto shrine in Ōita Prefecture, Japan, revered as the principal sanctuary of the war and guardian deity Hachiman and a historically important religious center.
-
C.
Marichi
Marichi is a revered Vedic sage (one of the Saptarishi) regarded as a mind-born son of Brahma and an important progenitor in Hindu cosmology.
-
D.
Jōkō
Jōkō is the Japanese honorific title traditionally given to a retired emperor who has abdicated the throne.
-
E.
Eichig
Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2ca385c8190ad0e4bafbb9b5e5c |
completed | March 7, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbb7616881908bfc82997538ca08 |
completed | March 8, 2026, 10:44 p.m. |
Created at: March 4, 2026, 7:36 p.m.