Triple

T17130689
Position Surface form Disambiguated ID Type / Status
Subject Poul Henningsen E415713 entity
Predicate familyName P18 FINISHED
Object Henningsen
Henningsen is a Danish surname notably associated with designer and cultural critic Poul Henningsen.
 E1252729 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: Henningsen | Statement: [Poul Henningsen, familyName, Henningsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Henningsen
Context triple: [Poul Henningsen, familyName, Henningsen]
  • A. Enskede
    Enskede is a suburban district in southern Stockholm, Sweden, known for its residential areas and garden-city character.
  • B. Lindberg
    Lindberg is a small municipality in the Regen district of Bavaria, Germany, known for its location in the Bavarian Forest region.
  • C. Merrild
    Merrild is a coffee brand and company known primarily in Northern Europe, offering a range of ground and whole-bean coffees.
  • D. Wieck
    Wieck is a German surname most notably associated with Friedrich Wieck, the influential 19th-century piano teacher and father of composer Clara Schumann.
  • E. Henning
    Henning is a Scandinavian masculine given name, particularly common in Sweden, Norway, and Denmark.
  • 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: Henningsen
Triple: [Poul Henningsen, familyName, Henningsen]
Generated description
Henningsen is a Danish surname notably associated with designer and cultural critic Poul Henningsen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Henningsen
Target entity description: Henningsen is a Danish surname notably associated with designer and cultural critic Poul Henningsen.
  • A. Enskede
    Enskede is a suburban district in southern Stockholm, Sweden, known for its residential areas and garden-city character.
  • B. Lindberg
    Lindberg is a small municipality in the Regen district of Bavaria, Germany, known for its location in the Bavarian Forest region.
  • C. Merrild
    Merrild is a coffee brand and company known primarily in Northern Europe, offering a range of ground and whole-bean coffees.
  • D. Wieck
    Wieck is a German surname most notably associated with Friedrich Wieck, the influential 19th-century piano teacher and father of composer Clara Schumann.
  • E. Henning
    Henning is a Scandinavian masculine given name, particularly common in Sweden, Norway, and Denmark.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f029d1a48190a9d4094827d11d23 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01414cd5d481908d11eb230d2283cd completed May 11, 2026, 2:39 a.m.
NEDg Description generation batch_6a01422c0f088190b162c7086bc93585 completed May 11, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0142f274ec819081eb15a3ea0e1b13 completed May 11, 2026, 2:46 a.m.
Created at: April 10, 2026, 5:36 a.m.