Triple
T9054927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murder of Geta |
E216973
|
entity |
| Predicate | hasVictim |
P870
|
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: [Murder of Geta, hasVictim, Geta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geta Context triple: [Murder of Geta, hasVictim, 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.
Enyō
Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
-
C.
Seishirō
Seishirō is a Japanese given name commonly used for male individuals.
-
D.
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.
-
E.
Naha Otsunahiki
Naha Otsunahiki is a massive traditional tug-of-war event held annually in Naha, Okinawa, famous for its giant rope and large-scale community participation.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a7488188190b3dd6bc2f2377503 |
completed | April 1, 2026, 1:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0178be518819080bd6c8cf0a737e8 |
completed | April 3, 2026, 7:39 p.m. |
Created at: March 30, 2026, 7:10 p.m.