Triple

T772382
Position Surface form Disambiguated ID Type / Status
Subject Thomson SA E16308 entity
Predicate ownedBrand P1500 FINISHED
Object Nordmende
Nordmende is a historic German consumer electronics brand best known for its radios and televisions, later revived under various international ownerships.
 E93262 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: Nordmende | Statement: [Thomson SA, ownedBrand, Nordmende]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nordmende
Context triple: [Thomson SA, ownedBrand, Nordmende]
  • A. Troms
    Troms was a former county in northern Norway known for its Arctic landscapes, coastal fjords, and the city of Tromsø.
  • B. Bømlo
    Bømlo is a large island and municipality in Vestland county, Norway, known for its rugged coastline, fishing communities, and extensive network of tunnels and bridges connecting it to the mainland.
  • C. Arendal
    Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
  • D. Sotra
    Sotra is a large, populated island off the west coast of Norway, known for its rugged coastline, fishing communities, and proximity to the city of Bergen.
  • E. Haugesund
    Haugesund is a coastal city in southwestern Norway known for its maritime heritage, shipbuilding industry, and annual film and jazz festivals.
  • 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: Nordmende
Triple: [Thomson SA, ownedBrand, Nordmende]
Generated description
Nordmende is a historic German consumer electronics brand best known for its radios and televisions, later revived under various international ownerships.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nordmende
Target entity description: Nordmende is a historic German consumer electronics brand best known for its radios and televisions, later revived under various international ownerships.
  • A. Troms
    Troms was a former county in northern Norway known for its Arctic landscapes, coastal fjords, and the city of Tromsø.
  • B. Bømlo
    Bømlo is a large island and municipality in Vestland county, Norway, known for its rugged coastline, fishing communities, and extensive network of tunnels and bridges connecting it to the mainland.
  • C. Arendal
    Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
  • D. Sotra
    Sotra is a large, populated island off the west coast of Norway, known for its rugged coastline, fishing communities, and proximity to the city of Bergen.
  • E. Haugesund
    Haugesund is a coastal city in southwestern Norway known for its maritime heritage, shipbuilding industry, and annual film and jazz festivals.
  • 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a72eda6c81908205ae5a1e05cc20 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6733a21bc81909fa8f18cf8e0356a completed March 3, 2026, 5:35 a.m.
NEDg Description generation batch_69a676dd01688190a75f606279630e3b completed March 3, 2026, 5:51 a.m.
NED2 Entity disambiguation (via description) batch_69a677534eb88190bac864e663a900f1 completed March 3, 2026, 5:53 a.m.
Created at: March 1, 2026, 7:37 p.m.