Triple
T1716707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crispus |
E37305
|
entity |
| Predicate | stepMother |
P14091
|
FINISHED |
| Object | Fausta |
E38675
|
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: Fausta | Statement: [Crispus, stepMother, Fausta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fausta Context triple: [Crispus, stepMother, Fausta]
-
A.
Fausta
chosen
Fausta was a Roman empress, daughter of Emperor Maximian, and the second wife of Constantine the Great, whose controversial execution has long intrigued historians.
-
B.
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.
-
C.
Rosalinda
Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
-
D.
Claudia
Claudia is a feminine given name used in various cultures, derived from the ancient Roman family name Claudius.
-
E.
Clementina
Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa63362ba481909e08e9f6fbf00b37 |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0d3a1508190bf05aa45e9966c49 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:30 p.m.