Triple
T3667660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Statilia Messalina |
E77799
|
entity |
| Predicate | praenomen |
P7966
|
FINISHED |
| Object |
Statilia
Statilia is an ancient Roman feminine praenomen (given name) most notably borne by the empress Statilia Messalina, wife of Emperor Nero.
|
E378114
|
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: Statilia | Statement: [Statilia Messalina, praenomen, Statilia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Statilia Context triple: [Statilia Messalina, praenomen, Statilia]
-
A.
Caesonia
Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
-
B.
Maenza
Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
-
C.
Tithorea
Tithorea was an important ancient city of Phocis in central Greece, known for its strategic location near Mount Parnassus and its role in regional conflicts.
-
D.
Sabinum
Sabinum was the ancient central Italian region traditionally associated with the Sabine people, located in the Apennine area northeast of Rome.
-
E.
Formia
Formia is a coastal town in the Lazio region of central Italy, known for its ancient Roman heritage and scenic location along the Gulf of Gaeta.
- 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: Statilia Triple: [Statilia Messalina, praenomen, Statilia]
Generated description
Statilia is an ancient Roman feminine praenomen (given name) most notably borne by the empress Statilia Messalina, wife of Emperor Nero.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Statilia Target entity description: Statilia is an ancient Roman feminine praenomen (given name) most notably borne by the empress Statilia Messalina, wife of Emperor Nero.
-
A.
Caesonia
Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
-
B.
Maenza
Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
-
C.
Tithorea
Tithorea was an important ancient city of Phocis in central Greece, known for its strategic location near Mount Parnassus and its role in regional conflicts.
-
D.
Sabinum
Sabinum was the ancient central Italian region traditionally associated with the Sabine people, located in the Apennine area northeast of Rome.
-
E.
Formia
Formia is a coastal town in the Lazio region of central Italy, known for its ancient Roman heritage and scenic location along the Gulf of Gaeta.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc402f5dc8190bd8d56a3c06e88f3 |
completed | March 8, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4884e36108190a19887e81921fe32 |
completed | March 13, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_69b48aa728fc8190b1a4e4d6d466efb5 |
completed | March 13, 2026, 10:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4aefb58448190b7d34343a5dbb0f6 |
completed | March 14, 2026, 12:42 a.m. |
Created at: March 8, 2026, 3:25 p.m.