Triple

T2141402
Position Surface form Disambiguated ID Type / Status
Subject Basilica Julia E46766 entity
Predicate namedAfter P63 FINISHED
Object gens Julia
The gens Julia was one of ancient Rome’s most prominent patrician families, traditionally claiming descent from the Trojan hero Aeneas and including figures such as Julius Caesar and Augustus.
E237658 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: gens Julia | Statement: [Basilica Julia, namedAfter, gens Julia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: gens Julia
Context triple: [Basilica Julia, namedAfter, gens Julia]
  • A. Julias
    Julias was a city in the ancient region of Gaulonitis, near the Sea of Galilee, known from the Roman and New Testament historical context.
  • B. Júlia
    Júlia is the given name of Julia Warhola, the mother of American pop artist Andy Warhol.
  • C. Genn
    Genn is a surname most notably associated with British actor and barrister Leo Genn.
  • D. Jane
    Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
  • E. Jo
    Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
  • 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: gens Julia
Triple: [Basilica Julia, namedAfter, gens Julia]
Generated description
The gens Julia was one of ancient Rome’s most prominent patrician families, traditionally claiming descent from the Trojan hero Aeneas and including figures such as Julius Caesar and Augustus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: gens Julia
Target entity description: The gens Julia was one of ancient Rome’s most prominent patrician families, traditionally claiming descent from the Trojan hero Aeneas and including figures such as Julius Caesar and Augustus.
  • A. Julias
    Julias was a city in the ancient region of Gaulonitis, near the Sea of Galilee, known from the Roman and New Testament historical context.
  • B. Júlia
    Júlia is the given name of Julia Warhola, the mother of American pop artist Andy Warhol.
  • C. Genn
    Genn is a surname most notably associated with British actor and barrister Leo Genn.
  • D. Jane
    Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
  • E. Jo
    Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbe0543108190862dd9a4a861c758 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51b37ce08190add9df46cc17ba89 completed March 9, 2026, 4:50 a.m.
NEDg Description generation batch_69ae52e539f081908424c4093c125861 completed March 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69ae5357e1088190bcffccb37030f3fc completed March 9, 2026, 4:58 a.m.
Created at: March 4, 2026, 7:44 p.m.