Triple
T2637476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avidius Cassius |
E59780
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Volusia Vettia
Volusia Vettia was a Roman noblewoman of the 2nd century AD, known primarily as the wife of the usurper emperor Avidius Cassius.
|
E283688
|
NE FINISHED |
How this triple was built (4 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: Volusia Vettia | Statement: [Avidius Cassius, spouse, Volusia Vettia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volusia Vettia Context triple: [Avidius Cassius, spouse, Volusia Vettia]
-
A.
Velia
Velia was an important ancient Greek coastal city in Lucania, southern Italy, known for its role as a philosophical center of the Eleatic school.
-
B.
Marpessa
Marpessa is a figure in Greek mythology known as a mortal woman whose beauty led to a famous love contest between the god Apollo and the hero Idas.
-
C.
Aurelia
Aurelia is the youngest daughter of Facebook co-founder Mark Zuckerberg and philanthropist Priscilla Chan.
-
D.
Aurelia
Aurelia is a character in the Red Nose Day Actually short film, serving as a continuation of her storyline from the original romantic comedy Love Actually.
-
E.
Salamina
Salamina is a historic Colombian town in the Caldas Department, renowned for its well-preserved colonial architecture and coffee-growing heritage in the Andean region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Volusia Vettia Triple: [Avidius Cassius, spouse, Volusia Vettia]
Generated description
Volusia Vettia was a Roman noblewoman of the 2nd century AD, known primarily as the wife of the usurper emperor Avidius Cassius.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Volusia Vettia Target entity description: Volusia Vettia was a Roman noblewoman of the 2nd century AD, known primarily as the wife of the usurper emperor Avidius Cassius.
-
A.
Velia
Velia was an important ancient Greek coastal city in Lucania, southern Italy, known for its role as a philosophical center of the Eleatic school.
-
B.
Marpessa
Marpessa is a figure in Greek mythology known as a mortal woman whose beauty led to a famous love contest between the god Apollo and the hero Idas.
-
C.
Aurelia
Aurelia is the youngest daughter of Facebook co-founder Mark Zuckerberg and philanthropist Priscilla Chan.
-
D.
Aurelia
Aurelia is a character in the Red Nose Day Actually short film, serving as a continuation of her storyline from the original romantic comedy Love Actually.
-
E.
Salamina
Salamina is a historic Colombian town in the Caldas Department, renowned for its well-preserved colonial architecture and coffee-growing heritage in the Andean region.
- F. None of above. chosen
Provenance (5 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8e3190081908ea828fe79569cc9 |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90b3e9b48190857ae21022a4fb15 |
completed | March 10, 2026, 3:32 a.m. |
| NEDg | Description generation | batch_69af922043508190a9a9ceced2425109 |
completed | March 10, 2026, 3:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af927bb1d0819081ab11eb4470e28d |
completed | March 10, 2026, 3:39 a.m. |
Created at: March 6, 2026, 9:50 p.m.