Triple

T6393290
Position Surface form Disambiguated ID Type / Status
Subject Johan Henrik Nebelong E143879 entity
Predicate familyName P18 FINISHED
Object Nebelong
Nebelong is a Danish surname most notably associated with 19th-century architect Johan Henrik Nebelong.
 E590862 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: Nebelong | Statement: [Johan Henrik Nebelong, familyName, Nebelong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nebelong
Context triple: [Johan Henrik Nebelong, familyName, Nebelong]
  • A. Nobsa
    Nobsa is a Colombian town known for its traditional wool textiles and crafts, located in the Boyacá Department.
  • B. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • C. Edenborn
    Edenborn is a science fiction novel by Nick Sagan that continues his post-apocalyptic series exploring genetic engineering and the future of humanity.
  • D. Maifeld
    Maifeld is a large open-air field and stadium area in Berlin, Germany, historically used for major sporting and ceremonial events, including competitions during the 1936 Summer Olympics.
  • E. Neshnabé
    Neshnabé is the self-designation used by the Potawatomi people to refer to themselves in their own language.
  • 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: Nebelong
Triple: [Johan Henrik Nebelong, familyName, Nebelong]
Generated description
Nebelong is a Danish surname most notably associated with 19th-century architect Johan Henrik Nebelong.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nebelong
Target entity description: Nebelong is a Danish surname most notably associated with 19th-century architect Johan Henrik Nebelong.
  • A. Nobsa
    Nobsa is a Colombian town known for its traditional wool textiles and crafts, located in the Boyacá Department.
  • B. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • C. Edenborn
    Edenborn is a science fiction novel by Nick Sagan that continues his post-apocalyptic series exploring genetic engineering and the future of humanity.
  • D. Maifeld
    Maifeld is a large open-air field and stadium area in Berlin, Germany, historically used for major sporting and ceremonial events, including competitions during the 1936 Summer Olympics.
  • E. Neshnabé
    Neshnabé is the self-designation used by the Potawatomi people to refer to themselves in their own language.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0687f5c6c81909c835329c996b311 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6388f42648190adbc2d1c1efa75a5 completed March 27, 2026, 7:58 a.m.
NEDg Description generation batch_69c63c5d5e2881908a27021616c69b97 completed March 27, 2026, 8:14 a.m.
NED2 Entity disambiguation (via description) batch_69c63cb876788190a26ae84c2c69df95 completed March 27, 2026, 8:15 a.m.
Created at: March 22, 2026, 4:34 p.m.