Triple

T731006
Position Surface form Disambiguated ID Type / Status
Subject Johannes Voet E14829 entity
Predicate familyName P18 FINISHED
Object Voet
Voet is a Dutch surname most notably associated with the influential 17th–18th century jurist Johannes Voet.
 E85865 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: Voet | Statement: [Johannes Voet, familyName, Voet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Voet
Context triple: [Johannes Voet, familyName, Voet]
  • A. Waterfoot
    Waterfoot is a small town in the Rossendale Valley of Lancashire, England, known historically for its textile industry and scenic Pennine surroundings.
  • B. Schievelbein
    Schievelbein is a historic town in Pomerania, now known as Świdwin in northwestern Poland.
  • C. Scarpe
    The Scarpe is a river in northern France that flows through the Artois and Nord regions before joining the Scheldt.
  • D. Foot Guards
    The Foot Guards are elite infantry regiments of the British Army renowned for their ceremonial duties guarding the monarch and royal residences, as well as their role as front-line soldiers.
  • E. Bola
    Bola is the given name of Bola Tinubu, a prominent Nigerian politician and current president of Nigeria.
  • 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: Voet
Triple: [Johannes Voet, familyName, Voet]
Generated description
Voet is a Dutch surname most notably associated with the influential 17th–18th century jurist Johannes Voet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Voet
Target entity description: Voet is a Dutch surname most notably associated with the influential 17th–18th century jurist Johannes Voet.
  • A. Waterfoot
    Waterfoot is a small town in the Rossendale Valley of Lancashire, England, known historically for its textile industry and scenic Pennine surroundings.
  • B. Schievelbein
    Schievelbein is a historic town in Pomerania, now known as Świdwin in northwestern Poland.
  • C. Scarpe
    The Scarpe is a river in northern France that flows through the Artois and Nord regions before joining the Scheldt.
  • D. Foot Guards
    The Foot Guards are elite infantry regiments of the British Army renowned for their ceremonial duties guarding the monarch and royal residences, as well as their role as front-line soldiers.
  • E. Bola
    Bola is the given name of Bola Tinubu, a prominent Nigerian politician and current president of Nigeria.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5c40b6481909db9efd7310850b3 completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6375fd8388190bb4a13bf4b151bfd completed March 3, 2026, 1:20 a.m.
NEDg Description generation batch_69a63814e01081909304d6f01374e5a0 completed March 3, 2026, 1:23 a.m.
NED2 Entity disambiguation (via description) batch_69a638b43e748190a809b089c35ab1c9 completed March 3, 2026, 1:26 a.m.
Created at: March 1, 2026, 7:37 p.m.