Triple

T8924759
Position Surface form Disambiguated ID Type / Status
Subject Mucia Tertia E212512 entity
Predicate mother P120 FINISHED
Object Licinia
Licinia was a Roman noblewoman of the late Republic, known primarily as the daughter of Mucia Tertia and thus connected to prominent political families of her time.
 E766691 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: Licinia | Statement: [Mucia Tertia, mother, Licinia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Licinia
Context triple: [Mucia Tertia, mother, Licinia]
  • A. Laibin
    Laibin is a prefecture-level city in south-central China known for its role as a regional transportation hub and its mix of industrial and agricultural development.
  • B. Lujza
    Lujza is a given name, primarily used in Central and Eastern Europe, that corresponds to the name Luisa or Louise in other languages.
  • C. Lubja
    Lubja is a small village located within Viimsi Parish in northern Estonia, near the capital city of Tallinn.
  • D. Lindinis
    Lindinis is the Roman-era name for the town now known as Ilchester in Somerset, England, which served as an important settlement in Roman Britain.
  • E. Lukin
    Lukin is a component or module associated with the "No Code" system, likely serving as a distinct functional part within that broader platform.
  • 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: Licinia
Triple: [Mucia Tertia, mother, Licinia]
Generated description
Licinia was a Roman noblewoman of the late Republic, known primarily as the daughter of Mucia Tertia and thus connected to prominent political families of her time.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Licinia
Target entity description: Licinia was a Roman noblewoman of the late Republic, known primarily as the daughter of Mucia Tertia and thus connected to prominent political families of her time.
  • A. Laibin
    Laibin is a prefecture-level city in south-central China known for its role as a regional transportation hub and its mix of industrial and agricultural development.
  • B. Lujza
    Lujza is a given name, primarily used in Central and Eastern Europe, that corresponds to the name Luisa or Louise in other languages.
  • C. Lubja
    Lubja is a small village located within Viimsi Parish in northern Estonia, near the capital city of Tallinn.
  • D. Lindinis
    Lindinis is the Roman-era name for the town now known as Ilchester in Somerset, England, which served as an important settlement in Roman Britain.
  • E. Lukin
    Lukin is a component or module associated with the "No Code" system, likely serving as a distinct functional part within that broader platform.
  • 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_69ca839481d48190b42b037e0d0f636c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66547de881909ea9bfd104b32893 completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba58e9ec81909141c516d05ac790 completed April 3, 2026, 1:02 p.m.
NEDg Description generation batch_69cfbade9330819096d4b0eeacdad6da completed April 3, 2026, 1:04 p.m.
NED2 Entity disambiguation (via description) batch_69cfbec2b8888190a0390168fdcef05f completed April 3, 2026, 1:21 p.m.
Created at: March 30, 2026, 6:57 p.m.