Triple

T1822386
Position Surface form Disambiguated ID Type / Status
Subject Francine Houben E40569 entity
Predicate familyName P18 FINISHED
Object Houben
Houben is a Dutch surname borne by various notable individuals, including architect Francine Houben.
 E204726 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: Houben | Statement: [Francine Houben, familyName, Houben]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Houben
Context triple: [Francine Houben, familyName, Houben]
  • A. Hüls
    Hüls is a district of the German city of Krefeld in North Rhine-Westphalia, known for its historic town center and textile-industry heritage.
  • B. Van der Madeweg
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • C. Houffalize
    Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
  • D. Arnhemmer
    An Arnhemmer is a resident or native of the Dutch city of Arnhem in the province of Gelderland.
  • E. Nyhausen
    Nyhausen is a locality in Germany historically noted as the birthplace of the Swedish nobleman and soldier Philip Christoph von Königsmarck.
  • 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: Houben
Triple: [Francine Houben, familyName, Houben]
Generated description
Houben is a Dutch surname borne by various notable individuals, including architect Francine Houben.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Houben
Target entity description: Houben is a Dutch surname borne by various notable individuals, including architect Francine Houben.
  • A. Hüls
    Hüls is a district of the German city of Krefeld in North Rhine-Westphalia, known for its historic town center and textile-industry heritage.
  • B. Van der Madeweg
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • C. Houffalize
    Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
  • D. Arnhemmer
    An Arnhemmer is a resident or native of the Dutch city of Arnhem in the province of Gelderland.
  • E. Nyhausen
    Nyhausen is a locality in Germany historically noted as the birthplace of the Swedish nobleman and soldier Philip Christoph von Königsmarck.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa662b910c8190b1746730ee09015a completed March 6, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf6722f081908c5368a09d1507ac completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc0a3fdd88190b0ffa98db1b5cf80 completed March 8, 2026, 6:32 p.m.
NED2 Entity disambiguation (via description) batch_69adc1304a808190a999e71dfa39162a completed March 8, 2026, 6:34 p.m.
Created at: March 4, 2026, 7:32 p.m.