Triple

T8924752
Position Surface form Disambiguated ID Type / Status
Subject Mucia Tertia E212512 entity
Predicate familyName P18 FINISHED
Object Mucia
Mucia was an ancient Roman noble family (gens) to which the patrician Mucia Tertia belonged.
 E766689 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: Mucia | Statement: [Mucia Tertia, familyName, Mucia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mucia
Context triple: [Mucia Tertia, familyName, Mucia]
  • A. Maenza
    Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
  • B. Vespasia
    Vespasia was an ancient Roman family name associated with the noble lineage of the Vespasii, relatives of the emperor Vespasian.
  • C. Statilia
    Statilia is an ancient Roman feminine praenomen (given name) most notably borne by the empress Statilia Messalina, wife of Emperor Nero.
  • D. Marrucini
    The Marrucini were an ancient Italic tribe of central Italy, closely associated with neighboring peoples like the Marsi and Paeligni and later incorporated into the Roman state.
  • E. Valtiberina
    Valtiberina is a valley in central Italy, primarily in Tuscany and partly in Umbria, known for its scenic landscapes and historical towns along the upper Tiber River.
  • 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: Mucia
Triple: [Mucia Tertia, familyName, Mucia]
Generated description
Mucia was an ancient Roman noble family (gens) to which the patrician Mucia Tertia belonged.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mucia
Target entity description: Mucia was an ancient Roman noble family (gens) to which the patrician Mucia Tertia belonged.
  • A. Maenza
    Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
  • B. Vespasia
    Vespasia was an ancient Roman family name associated with the noble lineage of the Vespasii, relatives of the emperor Vespasian.
  • C. Statilia
    Statilia is an ancient Roman feminine praenomen (given name) most notably borne by the empress Statilia Messalina, wife of Emperor Nero.
  • D. Marrucini
    The Marrucini were an ancient Italic tribe of central Italy, closely associated with neighboring peoples like the Marsi and Paeligni and later incorporated into the Roman state.
  • E. Valtiberina
    Valtiberina is a valley in central Italy, primarily in Tuscany and partly in Umbria, known for its scenic landscapes and historical towns along the upper Tiber River.
  • 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.