Triple

T6761666
Position Surface form Disambiguated ID Type / Status
Subject Prince Josias of Coburg E154608 entity
Predicate givenName P17 FINISHED
Object Josias
Josias is a masculine given name of Hebrew origin, historically borne by various European nobles and derived from the biblical name Josiah.
 E617484 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: Josias | Statement: [Prince Josias of Coburg, givenName, Josias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Josias
Context triple: [Prince Josias of Coburg, givenName, Josias]
  • A. Jozias
    Jozias is a Dutch politician best known for serving as Minister of Foreign Affairs and later as Mayor of The Hague.
  • B. Giselbert
    Giselbert is a Germanic given name of medieval origin that later evolved into the name Gilbert.
  • C. Johann der Beständige
    Johann der Beständige was Elector of Saxony from the Ernestine line of the Wettin dynasty and a key protector of Martin Luther and the early Protestant Reformation in the 16th century.
  • D. Wenceslaus
    Wenceslaus was the birth name of Charles IV, the 14th-century Holy Roman Emperor and King of Bohemia from the House of Luxembourg.
  • E. Baudouin
    Baudouin is a French-origin surname and given name, historically associated with noble and notable families in Francophone regions.
  • 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: Josias
Triple: [Prince Josias of Coburg, givenName, Josias]
Generated description
Josias is a masculine given name of Hebrew origin, historically borne by various European nobles and derived from the biblical name Josiah.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Josias
Target entity description: Josias is a masculine given name of Hebrew origin, historically borne by various European nobles and derived from the biblical name Josiah.
  • A. Jozias
    Jozias is a Dutch politician best known for serving as Minister of Foreign Affairs and later as Mayor of The Hague.
  • B. Giselbert
    Giselbert is a Germanic given name of medieval origin that later evolved into the name Gilbert.
  • C. Johann der Beständige
    Johann der Beständige was Elector of Saxony from the Ernestine line of the Wettin dynasty and a key protector of Martin Luther and the early Protestant Reformation in the 16th century.
  • D. Wenceslaus
    Wenceslaus was the birth name of Charles IV, the 14th-century Holy Roman Emperor and King of Bohemia from the House of Luxembourg.
  • E. Baudouin
    Baudouin is a French-origin surname and given name, historically associated with noble and notable families in Francophone regions.
  • 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_69c688109c1c8190added9a221292af0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d21444dc8190a290af86c81e96a5 completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712b352d08190932bc99dd3d673ba completed March 27, 2026, 11:28 p.m.
NEDg Description generation batch_69c713842b9c8190ae31eba0bd449968 completed March 27, 2026, 11:32 p.m.
NED2 Entity disambiguation (via description) batch_69c71444e9ec8190a68531ed29fd9377 completed March 27, 2026, 11:35 p.m.
Created at: March 27, 2026, 2:12 p.m.