Triple

T14128764
Position Surface form Disambiguated ID Type / Status
Subject Brian Van Holt E340103 entity
Predicate familyName P18 FINISHED
Object Van Holt
Van Holt is a surname most notably associated with American actor Brian Van Holt, known for his roles in film and television such as the sitcom "Cougar Town."
 E1108865 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: Van Holt | Statement: [Brian Van Holt, familyName, Van Holt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Van Holt
Context triple: [Brian Van Holt, familyName, Van Holt]
  • A. Thurø
    Thurø is a small Danish island in the Baltic Sea known for its coastal scenery, beaches, and traditional maritime village atmosphere.
  • B. Oksbøl
    Oksbøl is a town in southwestern Jutland, Denmark, known for its military training areas and historical role as a garrison location.
  • C. Hornbæk
    Hornbæk is a coastal town in northern Zealand, Denmark, known for its sandy beaches, holiday villas, and role as a popular seaside resort.
  • D. Nørholm
    Nørholm is a historic estate in southern Norway best known as the longtime home of Nobel Prize–winning author Knut Hamsun (born Knut Pedersen).
  • E. Hellebæk
    Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
  • 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: Van Holt
Triple: [Brian Van Holt, familyName, Van Holt]
Generated description
Van Holt is a surname most notably associated with American actor Brian Van Holt, known for his roles in film and television such as the sitcom "Cougar Town."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Van Holt
Target entity description: Van Holt is a surname most notably associated with American actor Brian Van Holt, known for his roles in film and television such as the sitcom "Cougar Town."
  • A. Thurø
    Thurø is a small Danish island in the Baltic Sea known for its coastal scenery, beaches, and traditional maritime village atmosphere.
  • B. Oksbøl
    Oksbøl is a town in southwestern Jutland, Denmark, known for its military training areas and historical role as a garrison location.
  • C. Hornbæk
    Hornbæk is a coastal town in northern Zealand, Denmark, known for its sandy beaches, holiday villas, and role as a popular seaside resort.
  • D. Nørholm
    Nørholm is a historic estate in southern Norway best known as the longtime home of Nobel Prize–winning author Knut Hamsun (born Knut Pedersen).
  • E. Hellebæk
    Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6098013c8190b1bac9d3fff60acd completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd949df6688190ac92f7e0945bce02 completed May 8, 2026, 7:45 a.m.
NEDg Description generation batch_69fd9818cc6081908f2b628abd983973 completed May 8, 2026, 8 a.m.
NED2 Entity disambiguation (via description) batch_69fd98b320108190b7d4c43bfd4038fb completed May 8, 2026, 8:02 a.m.
Created at: April 9, 2026, 10:23 p.m.