Triple

T6055427
Position Surface form Disambiguated ID Type / Status
Subject Fritz Wedel Jarlsberg E134897 entity
Predicate familyName P18 FINISHED
Object Wedel Jarlsberg
Wedel Jarlsberg is the name of a prominent Norwegian noble family historically influential in politics and diplomacy.
E564129 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: Wedel Jarlsberg | Statement: [Fritz Wedel Jarlsberg, familyName, Wedel Jarlsberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wedel Jarlsberg
Context triple: [Fritz Wedel Jarlsberg, familyName, Wedel Jarlsberg]
  • A. Gudbrandsdalsost
    Gudbrandsdalsost is a traditional Norwegian brown whey cheese with a sweet, caramel-like flavor, widely regarded as a national specialty.
  • B. Maasdam cheese
    Maasdam cheese is a Dutch semi-hard cow's milk cheese similar to Swiss Emmental, known for its large holes, sweet nutty flavor, and good melting properties.
  • C. Gouda
    Gouda is a historic Dutch city renowned worldwide for its namesake cheese, traditional cheese market, and well-preserved medieval architecture.
  • D. Bega
    Bega is a river in Central and Southeastern Europe that flows through Romania and Serbia, including the city of Zrenjanin.
  • E. Bega
    Bega is a rural town in New South Wales, Australia, best known as a major dairy and cheese-producing centre.
  • 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: Wedel Jarlsberg
Triple: [Fritz Wedel Jarlsberg, familyName, Wedel Jarlsberg]
Generated description
Wedel Jarlsberg is the name of a prominent Norwegian noble family historically influential in politics and diplomacy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wedel Jarlsberg
Target entity description: Wedel Jarlsberg is the name of a prominent Norwegian noble family historically influential in politics and diplomacy.
  • A. Gudbrandsdalsost
    Gudbrandsdalsost is a traditional Norwegian brown whey cheese with a sweet, caramel-like flavor, widely regarded as a national specialty.
  • B. Maasdam cheese
    Maasdam cheese is a Dutch semi-hard cow's milk cheese similar to Swiss Emmental, known for its large holes, sweet nutty flavor, and good melting properties.
  • C. Gouda
    Gouda is a historic Dutch city renowned worldwide for its namesake cheese, traditional cheese market, and well-preserved medieval architecture.
  • D. Bega
    Bega is a river in Central and Southeastern Europe that flows through Romania and Serbia, including the city of Zrenjanin.
  • E. Bega
    Bega is a rural town in New South Wales, Australia, best known as a major dairy and cheese-producing centre.
  • 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0570a863c819090291775245708d6 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113b06d188190839cfc48a2461d65 completed March 23, 2026, 10:19 a.m.
NEDg Description generation batch_69c114dcc99481909163f0f40f1a6358 completed March 23, 2026, 10:24 a.m.
NED2 Entity disambiguation (via description) batch_69c115552c188190b500d96e86410180 completed March 23, 2026, 10:26 a.m.
Created at: March 22, 2026, 4:09 p.m.