Triple

T1744709
Position Surface form Disambiguated ID Type / Status
Subject Mark Antony E38310 entity
Predicate mother P120 FINISHED
Object Julia Antonia
Julia Antonia was a Roman noblewoman of the late Republic, best known as the mother of the triumvir Mark Antony and a member of the influential Antonia gens.
E198005 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: Julia Antonia | Statement: [Mark Antony, mother, Julia Antonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julia Antonia
Context triple: [Mark Antony, mother, Julia Antonia]
  • A. Juliana
    Juliana was Queen of the Netherlands from 1948 to 1980, known for her down-to-earth style and role in guiding the country through postwar reconstruction and decolonization.
  • B. Juliana
    Juliana is an Old English religious poem attributed to the Anglo-Saxon poet Cynewulf, recounting the legend and martyrdom of Saint Juliana.
  • C. Luise
    Luise is a given name, primarily used in German-speaking countries, that corresponds to the English and French name Louise.
  • D. Júlia
    Júlia is the given name of Julia Warhola, the mother of American pop artist Andy Warhol.
  • E. Alexis
    Alexis is a given name most famously borne by the French political thinker and historian Alexis de Tocqueville.
  • 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: Julia Antonia
Triple: [Mark Antony, mother, Julia Antonia]
Generated description
Julia Antonia was a Roman noblewoman of the late Republic, best known as the mother of the triumvir Mark Antony and a member of the influential Antonia gens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Julia Antonia
Target entity description: Julia Antonia was a Roman noblewoman of the late Republic, best known as the mother of the triumvir Mark Antony and a member of the influential Antonia gens.
  • A. Juliana
    Juliana is an Old English religious poem attributed to the Anglo-Saxon poet Cynewulf, recounting the legend and martyrdom of Saint Juliana.
  • B. Juliana
    Juliana was Queen of the Netherlands from 1948 to 1980, known for her down-to-earth style and role in guiding the country through postwar reconstruction and decolonization.
  • C. Luise
    Luise is a given name, primarily used in German-speaking countries, that corresponds to the English and French name Louise.
  • D. Júlia
    Júlia is the given name of Julia Warhola, the mother of American pop artist Andy Warhol.
  • E. Alexis
    Alexis is a given name most famously borne by the French political thinker and historian Alexis de Tocqueville.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63e804848190a19c10f4e609e900 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9866d308190a1de483f5a330362 completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adaab3b5008190ba5a07636fe3f2eb completed March 8, 2026, 4:58 p.m.
NED2 Entity disambiguation (via description) batch_69adaea486d0819097357d881b70d114 completed March 8, 2026, 5:15 p.m.
Created at: March 4, 2026, 7:31 p.m.