Triple

T13024967
Position Surface form Disambiguated ID Type / Status
Subject Vibia Aurelia Sabina E326278 entity
Predicate givenName P17 FINISHED
Object Vibia
Vibia was a Roman woman of the 2nd century, known as the daughter of Emperor Marcus Aurelius and a member of the Nerva–Antonine imperial dynasty.
E1014988 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: Vibia | Statement: [Vibia Aurelia Sabina, givenName, Vibia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vibia
Context triple: [Vibia Aurelia Sabina, givenName, Vibia]
  • A. Vulcanal
    Vulcanal is an ancient open-air shrine in the Roman Forum dedicated to Vulcan, the Roman god of fire and metalworking.
  • B. Rumuola
    Rumuola is a prominent urban neighborhood and transport hub in Port Harcourt, Rivers State, Nigeria.
  • C. Statilia
    Statilia is an ancient Roman feminine praenomen (given name) most notably borne by the empress Statilia Messalina, wife of Emperor Nero.
  • D. Maenza
    Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
  • E. Mucia
    Mucia was an ancient Roman noble family (gens) to which the patrician Mucia Tertia belonged.
  • 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: Vibia
Triple: [Vibia Aurelia Sabina, givenName, Vibia]
Generated description
Vibia was a Roman woman of the 2nd century, known as the daughter of Emperor Marcus Aurelius and a member of the Nerva–Antonine imperial dynasty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vibia
Target entity description: Vibia was a Roman woman of the 2nd century, known as the daughter of Emperor Marcus Aurelius and a member of the Nerva–Antonine imperial dynasty.
  • A. Vulcanal
    Vulcanal is an ancient open-air shrine in the Roman Forum dedicated to Vulcan, the Roman god of fire and metalworking.
  • B. Rumuola
    Rumuola is a prominent urban neighborhood and transport hub in Port Harcourt, Rivers State, Nigeria.
  • C. Statilia
    Statilia is an ancient Roman feminine praenomen (given name) most notably borne by the empress Statilia Messalina, wife of Emperor Nero.
  • D. Maenza
    Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
  • E. Mucia
    Mucia was an ancient Roman noble family (gens) to which the patrician Mucia Tertia belonged.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97efac71881908a21d70c3c6ce099 completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c11c1f6c8190be1c570a7e44a313 completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c20aff008190a1a10ac02ed08726 completed May 3, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f6c2de143c81908164f5df2b92e5c3 completed May 3, 2026, 3:37 a.m.
Created at: April 9, 2026, 8:53 p.m.