Triple

T1221614
Position Surface form Disambiguated ID Type / Status
Subject Tjarda van Starkenborgh Stachouwer E26233 entity
Predicate hasHonorificTitle P368 FINISHED
Object Jonkheer
Jonkheer is a Dutch hereditary honorific used for members of the untitled lower nobility in the Netherlands and Belgium.
 E139485 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: Jonkheer | Statement: [Tjarda van Starkenborgh Stachouwer, hasHonorificTitle, Jonkheer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jonkheer
Context triple: [Tjarda van Starkenborgh Stachouwer, hasHonorificTitle, Jonkheer]
  • A. Baron
    Baron is a hereditary rank of nobility typically positioned below a viscount or count in European aristocratic hierarchies.
  • B. Baron Okingham
    Baron Okingham is a noble title historically associated with Prince George of Denmark, the consort of Queen Anne of Great Britain.
  • C. Grand Duke
    The Grand Duke is the hereditary monarch and ceremonial head of state of the Grand Duchy of Luxembourg.
  • D. Marquis of Moya
    The Marquis of Moya is a hereditary Spanish noble title historically associated with influential aristocratic families such as the Fernández Pacheco lineage.
  • E. Kœnig
    Kœnig is a French surname most notably associated with figures such as General Marie-Pierre Kœnig, a prominent military leader during World War II.
  • 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: Jonkheer
Triple: [Tjarda van Starkenborgh Stachouwer, hasHonorificTitle, Jonkheer]
Generated description
Jonkheer is a Dutch hereditary honorific used for members of the untitled lower nobility in the Netherlands and Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jonkheer
Target entity description: Jonkheer is a Dutch hereditary honorific used for members of the untitled lower nobility in the Netherlands and Belgium.
  • A. Baron
    Baron is a hereditary rank of nobility typically positioned below a viscount or count in European aristocratic hierarchies.
  • B. Baron Okingham
    Baron Okingham is a noble title historically associated with Prince George of Denmark, the consort of Queen Anne of Great Britain.
  • C. Grand Duke
    The Grand Duke is the hereditary monarch and ceremonial head of state of the Grand Duchy of Luxembourg.
  • D. Marquis of Moya
    The Marquis of Moya is a hereditary Spanish noble title historically associated with influential aristocratic families such as the Fernández Pacheco lineage.
  • E. Kœnig
    Kœnig is a French surname most notably associated with figures such as General Marie-Pierre Kœnig, a prominent military leader during World War II.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be206c108190bb8a5d44fc516c98 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac832508c881908ea01e0b7c7e53eb completed March 7, 2026, 7:57 p.m.
NEDg Description generation batch_69ac83e914b88190b689995a3c38d6cf completed March 7, 2026, 8 p.m.
NED2 Entity disambiguation (via description) batch_69ac8461940c819088359a448171455e completed March 7, 2026, 8:02 p.m.
Created at: March 1, 2026, 7:47 p.m.