Triple
T13221737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | gens Sulpicia |
E314770
|
entity |
| Predicate | hasCognomen |
P6662
|
FINISHED |
| Object |
Camerinus
Camerinus is a cognomen used by members of the ancient Roman gens Sulpicia, distinguishing a particular branch of this patrician family.
|
E1027870
|
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: Camerinus | Statement: [gens Sulpicia, hasCognomen, Camerinus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camerinus Context triple: [gens Sulpicia, hasCognomen, Camerinus]
-
A.
Statilia
Statilia is an ancient Roman feminine praenomen (given name) most notably borne by the empress Statilia Messalina, wife of Emperor Nero.
-
B.
Caesonia
Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
-
C.
Decumano
Decumano was the central pedestrian boulevard of Expo 2015 in Milan, along which the majority of national pavilions and exhibition spaces were arranged.
-
D.
Clusone
Clusone is a historic town in northern Italy known for its medieval architecture and frescoes, located in the Lombardy region.
-
E.
Carnide
Carnide is a civil parish and residential neighborhood in northern Lisbon, Portugal, known for its mix of historic village core and modern urban developments.
- 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: Camerinus Triple: [gens Sulpicia, hasCognomen, Camerinus]
Generated description
Camerinus is a cognomen used by members of the ancient Roman gens Sulpicia, distinguishing a particular branch of this patrician family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Camerinus Target entity description: Camerinus is a cognomen used by members of the ancient Roman gens Sulpicia, distinguishing a particular branch of this patrician family.
-
A.
Statilia
Statilia is an ancient Roman feminine praenomen (given name) most notably borne by the empress Statilia Messalina, wife of Emperor Nero.
-
B.
Caesonia
Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
-
C.
Decumano
Decumano was the central pedestrian boulevard of Expo 2015 in Milan, along which the majority of national pavilions and exhibition spaces were arranged.
-
D.
Clusone
Clusone is a historic town in northern Italy known for its medieval architecture and frescoes, located in the Lombardy region.
-
E.
Carnide
Carnide is a civil parish and residential neighborhood in northern Lisbon, Portugal, known for its mix of historic village core and modern urban developments.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf74d708190a61d8ad938653b06 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2282fc8190bc5037ff62e594ff |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f7001924d48190af7d430cb258409a |
completed | May 3, 2026, 7:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f700cfb43881909c903ec12b15065a |
completed | May 3, 2026, 8:01 a.m. |
Created at: April 9, 2026, 9:18 p.m.