Triple

T5742085
Position Surface form Disambiguated ID Type / Status
Subject Michiel Huisman E126639 entity
Predicate familyName P18 FINISHED
Object Huisman
Huisman is a Dutch surname borne by various notable individuals, including actors, athletes, and artists.
E543140 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: Huisman | Statement: [Michiel Huisman, familyName, Huisman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huisman
Context triple: [Michiel Huisman, familyName, Huisman]
  • A. Victor Heerman
    Victor Heerman was a British-born American screenwriter and film director best known for co-writing the Academy Award–winning adaptation of "Little Women" (1933).
  • B. Romijn
    Romijn is a Dutch surname most notably associated with American actress and former model Rebecca Romijn.
  • C. Adam Bosman
    Adam Bosman is a film editor known for his work on the mystery film "Enola Holmes."
  • D. Wouwerman
    Wouwerman is the surname of a Dutch family of painters best known for the 17th-century artist Philips Wouwerman, celebrated for his dynamic equestrian and landscape scenes.
  • E. Jeroen
    Jeroen is a common Dutch male given name, often associated internationally with figures such as politician Jeroen Dijsselbloem.
  • 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: Huisman
Triple: [Michiel Huisman, familyName, Huisman]
Generated description
Huisman is a Dutch surname borne by various notable individuals, including actors, athletes, and artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Huisman
Target entity description: Huisman is a Dutch surname borne by various notable individuals, including actors, athletes, and artists.
  • A. Victor Heerman
    Victor Heerman was a British-born American screenwriter and film director best known for co-writing the Academy Award–winning adaptation of "Little Women" (1933).
  • B. Romijn
    Romijn is a Dutch surname most notably associated with American actress and former model Rebecca Romijn.
  • C. Adam Bosman
    Adam Bosman is a film editor known for his work on the mystery film "Enola Holmes."
  • D. Wouwerman
    Wouwerman is the surname of a Dutch family of painters best known for the 17th-century artist Philips Wouwerman, celebrated for his dynamic equestrian and landscape scenes.
  • E. Jeroen
    Jeroen is a common Dutch male given name, often associated internationally with figures such as politician Jeroen Dijsselbloem.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025852a2c819080521e5b98c00bdc completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e1bfe4481908740aa20d55ec8f6 completed March 22, 2026, 11:41 p.m.
NEDg Description generation batch_69c08a2bc1b08190998a7e5eb8d6d6ac completed March 23, 2026, 12:32 a.m.
NED2 Entity disambiguation (via description) batch_69c08a85b508819088464b97b6c9bb99 completed March 23, 2026, 12:34 a.m.
Created at: March 22, 2026, 3:48 p.m.