Triple

T8164685
Position Surface form Disambiguated ID Type / Status
Subject Piet Lieftinck E190661 entity
Predicate familyName P18 FINISHED
Object Lieftinck
Lieftinck is a Dutch surname most notably associated with Piet Lieftinck, a prominent mid-20th-century Dutch politician and economist.
E715428 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: Lieftinck | Statement: [Piet Lieftinck, familyName, Lieftinck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lieftinck
Context triple: [Piet Lieftinck, familyName, Lieftinck]
  • A. De Haan
    De Haan is a seaside resort town on the Belgian coast, known for its Belle Époque architecture and beaches.
  • B. Schoonaarde
    Schoonaarde is a village in East Flanders, Belgium, that forms a sub-municipality of the city of Dendermonde.
  • C. Van der Madeweg
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • D. Boesinghe
    Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
  • E. Castrisch
    Castrisch is a village and former municipality in the canton of Graubünden in eastern Switzerland, known for its location in the Surselva region.
  • 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: Lieftinck
Triple: [Piet Lieftinck, familyName, Lieftinck]
Generated description
Lieftinck is a Dutch surname most notably associated with Piet Lieftinck, a prominent mid-20th-century Dutch politician and economist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lieftinck
Target entity description: Lieftinck is a Dutch surname most notably associated with Piet Lieftinck, a prominent mid-20th-century Dutch politician and economist.
  • A. De Haan
    De Haan is a seaside resort town on the Belgian coast, known for its Belle Époque architecture and beaches.
  • B. Schoonaarde
    Schoonaarde is a village in East Flanders, Belgium, that forms a sub-municipality of the city of Dendermonde.
  • C. Van der Madeweg
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • D. Boesinghe
    Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
  • E. Castrisch
    Castrisch is a village and former municipality in the canton of Graubünden in eastern Switzerland, known for its location in the Surselva region.
  • 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_69ca82c0ef14819083713f4473dd847c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4664fef881908b0dc7b158aca398 completed March 31, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf3ed24c8190b4874e63fcaa50a9 completed April 1, 2026, 6:46 a.m.
NEDg Description generation batch_69ccc24d568081908b3c94edd35f071c completed April 1, 2026, 6:59 a.m.
NED2 Entity disambiguation (via description) batch_69ccc394a5488190b48681f4781f1be6 completed April 1, 2026, 7:04 a.m.
Created at: March 30, 2026, 5:38 p.m.