Triple
T4631207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valeria |
E101420
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Prisca |
E77353
|
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: Prisca | Statement: [Valeria, mother, Prisca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prisca Context triple: [Valeria, mother, Prisca]
-
A.
Prisca
chosen
Prisca was the wife of Roman Emperor Diocletian and served as Augusta during his reign in the late 3rd and early 4th centuries.
-
B.
Eusebia
Eusebia was a Roman empress of the 4th century, noted for her political influence at court and her marriage to Emperor Constantius II.
-
C.
Lucilla
Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
-
D.
Berenice
Berenice is a feminine given name of Greek origin, historically borne by Hellenistic queens and early Christian figures, and used in various European languages.
-
E.
Dagmária
Dagmária is a feminine given name, a variant of the name Dagmar used in certain languages or cultures.
- 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_69bd43d2f1c081908cd4b7ec48ecc73d |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a32d6408190962e60b9bce7560d |
completed | March 20, 2026, 2:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03652dc081908abc3e036f853edf |
completed | March 21, 2026, 2:33 a.m. |
Created at: March 20, 2026, 1:13 p.m.