Triple

T14636883
Position Surface form Disambiguated ID Type / Status
Subject Ziaelas of Bithynia E343629 entity
Predicate mother P120 FINISHED
Object Ditizele
Ditizele was a woman of the Bithynian royal family known primarily as the mother of King Ziaelas of Bithynia in the Hellenistic period.
 E1109964 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: Ditizele | Statement: [Ziaelas of Bithynia, mother, Ditizele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ditizele
Context triple: [Ziaelas of Bithynia, mother, Ditizele]
  • A. Dilesi
    Dilesi is a coastal town in Boeotia, Greece, situated on the Euboean Gulf and functioning today as a small residential and holiday community.
  • B. Dizzia
    Dizzia is the surname of American actress Maria Dizzia, known for her work in film, television, and theater.
  • C. Tyto
    Tyto is a genus of medium-sized owls best known for including the widespread barn owl and its close relatives.
  • D. Dieze
    The Dieze is a river in the southern Netherlands that flows through the city of ’s-Hertogenbosch and ultimately drains into the Dommel and Aa river system.
  • E. Dizy
    Dizy is a small municipality in the canton of Vaud in western Switzerland.
  • 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: Ditizele
Triple: [Ziaelas of Bithynia, mother, Ditizele]
Generated description
Ditizele was a woman of the Bithynian royal family known primarily as the mother of King Ziaelas of Bithynia in the Hellenistic period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ditizele
Target entity description: Ditizele was a woman of the Bithynian royal family known primarily as the mother of King Ziaelas of Bithynia in the Hellenistic period.
  • A. Dilesi
    Dilesi is a coastal town in Boeotia, Greece, situated on the Euboean Gulf and functioning today as a small residential and holiday community.
  • B. Dizzia
    Dizzia is the surname of American actress Maria Dizzia, known for her work in film, television, and theater.
  • C. Tyto
    Tyto is a genus of medium-sized owls best known for including the widespread barn owl and its close relatives.
  • D. Dieze
    The Dieze is a river in the southern Netherlands that flows through the city of ’s-Hertogenbosch and ultimately drains into the Dommel and Aa river system.
  • E. Dizy
    Dizy is a small municipality in the canton of Vaud in western Switzerland.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4aca6448190adf1042dfbfef716 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda934ec3c81909eb3c3a54260436b completed May 8, 2026, 9:13 a.m.
NEDg Description generation batch_69fdb1ad32a4819088e5831f3d74ea4e completed May 8, 2026, 9:49 a.m.
NED2 Entity disambiguation (via description) batch_69fdb316479c81909343196bb89e5e57 completed May 8, 2026, 9:55 a.m.
Created at: April 10, 2026, 1:26 a.m.