Triple

T17617285
Position Surface form Disambiguated ID Type / Status
Subject Frederik Kortlandt E429116 entity
Predicate familyName P18 FINISHED
Object Kortlandt
Kortlandt is a Dutch surname most notably borne by linguist Frederik Kortlandt, known for his work in Indo-European and Balto-Slavic studies.
E1277982 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: Kortlandt | Statement: [Frederik Kortlandt, familyName, Kortlandt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kortlandt
Context triple: [Frederik Kortlandt, familyName, Kortlandt]
  • A. Kolderbos
    Kolderbos is a residential district of the Belgian city of Genk, known for its post-war social housing and multicultural community.
  • B. Van der Madeweg
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • C. Goudswaard
    Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • D. Goudriaan
    Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
  • E. Huijgen
    Huijgen is a Dutch surname that is a historical and orthographic variant of the name Huygens.
  • 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: Kortlandt
Triple: [Frederik Kortlandt, familyName, Kortlandt]
Generated description
Kortlandt is a Dutch surname most notably borne by linguist Frederik Kortlandt, known for his work in Indo-European and Balto-Slavic studies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kortlandt
Target entity description: Kortlandt is a Dutch surname most notably borne by linguist Frederik Kortlandt, known for his work in Indo-European and Balto-Slavic studies.
  • A. Kolderbos
    Kolderbos is a residential district of the Belgian city of Genk, known for its post-war social housing and multicultural community.
  • B. Van der Madeweg
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • C. Goudswaard
    Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • D. Goudriaan
    Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
  • E. Huijgen
    Huijgen is a Dutch surname that is a historical and orthographic variant of the name Huygens.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d33a2b081908deecee773c333af completed April 19, 2026, 5:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01e82b36448190b3b49b864e987f63 completed May 11, 2026, 2:31 p.m.
NEDg Description generation batch_6a01ecfb2ff4819082f67ab1f2ce8885 completed May 11, 2026, 2:51 p.m.
NED2 Entity disambiguation (via description) batch_6a01ee0c03e881908aaaa3bd0f596387 completed May 11, 2026, 2:56 p.m.
Created at: April 10, 2026, 5:51 a.m.