Triple

T14369924
Position Surface form Disambiguated ID Type / Status
Subject Joris Laarman E356332 entity
Predicate familyName P18 FINISHED
Object Laarman
Laarman is a Dutch surname most notably associated with designer and artist Joris Laarman, known for his innovative work at the intersection of technology and design.
 E1095292 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: Laarman | Statement: [Joris Laarman, familyName, Laarman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laarman
Context triple: [Joris Laarman, familyName, Laarman]
  • A. Leeman
    Leeman is the namesake of Leeman-Turner Arena at Grace Hall, likely a person honored for significant contributions to the associated institution or community.
  • B. Leeman
    Leeman is a small coastal town in the Mid West region of Western Australia, known for its fishing and relaxed seaside lifestyle.
  • C. Sjaalman
    Sjaalman is a fictional character in Multatuli’s novel "Max Havelaar," serving as an alter ego and narrative device to expose colonial abuses in the Dutch East Indies.
  • D. Langeraar
    Langeraar is a village in the Dutch province of South Holland, located within the municipality of Nieuwkoop.
  • E. Larrelt
    Larrelt is a district of the German seaport city of Emden in Lower Saxony.
  • 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: Laarman
Triple: [Joris Laarman, familyName, Laarman]
Generated description
Laarman is a Dutch surname most notably associated with designer and artist Joris Laarman, known for his innovative work at the intersection of technology and design.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laarman
Target entity description: Laarman is a Dutch surname most notably associated with designer and artist Joris Laarman, known for his innovative work at the intersection of technology and design.
  • A. Leeman
    Leeman is the namesake of Leeman-Turner Arena at Grace Hall, likely a person honored for significant contributions to the associated institution or community.
  • B. Leeman
    Leeman is a small coastal town in the Mid West region of Western Australia, known for its fishing and relaxed seaside lifestyle.
  • C. Sjaalman
    Sjaalman is a fictional character in Multatuli’s novel "Max Havelaar," serving as an alter ego and narrative device to expose colonial abuses in the Dutch East Indies.
  • D. Langeraar
    Langeraar is a village in the Dutch province of South Holland, located within the municipality of Nieuwkoop.
  • E. Larrelt
    Larrelt is a district of the German seaport city of Emden in Lower Saxony.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fb0b8988190ab834a85911c015c completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5363a081909681b54c1d8218dc completed May 8, 2026, 2:37 a.m.
NEDg Description generation batch_69fd4e795948819097c43e30902f1654 completed May 8, 2026, 2:46 a.m.
NED2 Entity disambiguation (via description) batch_69fd4f04d7ec819095b64d4811440166 completed May 8, 2026, 2:48 a.m.
Created at: April 10, 2026, 1:15 a.m.