Triple

T587648
Position Surface form Disambiguated ID Type / Status
Subject Diocletian E15193 entity
Predicate child P120 FINISHED
Object Valeria
Valeria was a Roman imperial princess and later empress, best known as the daughter of Emperor Diocletian and for her tragic fate during the political turmoil of the Tetrarchy.
 E101420 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: Valeria | Statement: [Diocletian, child, Valeria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Valeria
Context triple: [Diocletian, child, Valeria]
  • A. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • B. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • C. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • D. Elena
    Elena is a feminine given name of Greek origin, commonly used in many languages as a variant of Helen or Helena.
  • E. Amalia
    Amalia is the Dutch crown princess, heir apparent to the throne of the Kingdom of the Netherlands.
  • 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: Valeria
Triple: [Diocletian, child, Valeria]
Generated description
Valeria was a Roman imperial princess and later empress, best known as the daughter of Emperor Diocletian and for her tragic fate during the political turmoil of the Tetrarchy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Valeria
Target entity description: Valeria was a Roman imperial princess and later empress, best known as the daughter of Emperor Diocletian and for her tragic fate during the political turmoil of the Tetrarchy.
  • A. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • B. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • C. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • D. Elena
    Elena is a feminine given name of Greek origin, commonly used in many languages as a variant of Helen or Helena.
  • E. Amalia
    Amalia is the Dutch crown princess, heir apparent to the throne of the Kingdom of the Netherlands.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b9bf0cc8190a145ccd6fc501349 completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3a260888190b89e90c1da061733 completed March 4, 2026, 3:14 a.m.
NEDg Description generation batch_69a7a5d4125481908fa8cbfefe39f7cd completed March 4, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_69a7a6584acc81908a12da6f0c2faec5 completed March 4, 2026, 3:26 a.m.
Created at: March 1, 2026, 7:33 p.m.