Triple

T8644035
Position Surface form Disambiguated ID Type / Status
Subject Houben E204726 entity
Predicate hasNotableBearer P458 FINISHED
Object Jan Houben
Jan Houben is a relatively obscure individual whose name is notably associated with the surname Houben but who has no widely documented public profile.
 E763928 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: Jan Houben | Statement: [Houben, hasNotableBearer, Jan Houben]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jan Houben
Context triple: [Houben, hasNotableBearer, Jan Houben]
  • A. Willy Houben
    Willy Houben is a notable individual who shares the surname Houben, recognized enough to be specifically cited as a bearer of the name.
  • B. Jef Houben
    Jef Houben is a Belgian former professional footballer known for playing as a defender, notably with K.R.C. Genk.
  • C. Michel Houben
    Michel Houben is a relatively obscure individual whose primary public mention appears to be as a namesake in reference data rather than as a widely recognized public figure.
  • D. Jan Verkolje
    Jan Verkolje was a 17th-century Dutch painter and mezzotint engraver known for his portraits and genre scenes in the Baroque style.
  • E. Dani van Velthoven
    Dani van Velthoven is a Dutch singer who gained national fame after winning the popular televised talent competition The Voice of Holland.
  • 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: Jan Houben
Triple: [Houben, hasNotableBearer, Jan Houben]
Generated description
Jan Houben is a relatively obscure individual whose name is notably associated with the surname Houben but who has no widely documented public profile.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jan Houben
Target entity description: Jan Houben is a relatively obscure individual whose name is notably associated with the surname Houben but who has no widely documented public profile.
  • A. Willy Houben
    Willy Houben is a notable individual who shares the surname Houben, recognized enough to be specifically cited as a bearer of the name.
  • B. Jef Houben
    Jef Houben is a Belgian former professional footballer known for playing as a defender, notably with K.R.C. Genk.
  • C. Michel Houben chosen
    Michel Houben is a relatively obscure individual whose primary public mention appears to be as a namesake in reference data rather than as a widely recognized public figure.
  • D. Jan Verkolje
    Jan Verkolje was a 17th-century Dutch painter and mezzotint engraver known for his portraits and genre scenes in the Baroque style.
  • E. Dani van Velthoven
    Dani van Velthoven is a Dutch singer who gained national fame after winning the popular televised talent competition The Voice of Holland.
  • F. None of above.

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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4798852881909c03c5eadf805e49 completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1b6d2ec81909765ea1a368b090d completed April 3, 2026, 1:33 p.m.
NEDg Description generation batch_69cfc23b6c9c81908e9d88aa5842e43c completed April 3, 2026, 1:35 p.m.
NED2 Entity disambiguation (via description) batch_69cfc28770ec8190acdaa6e9dfd78e3e completed April 3, 2026, 1:37 p.m.
Created at: March 30, 2026, 6:28 p.m.