Triple

T20310213
Position Surface form Disambiguated ID Type / Status
Subject Rijcken E510216 entity
Predicate hasNotableBearer P458 FINISHED
Object Hendrik Rijcken
Hendrik Rijcken was a Dutch naval officer who served as Minister of the Navy in the 19th century.
E1432611 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: Hendrik Rijcken | Statement: [Rijcken, hasNotableBearer, Hendrik Rijcken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hendrik Rijcken
Context triple: [Rijcken, hasNotableBearer, Hendrik Rijcken]
  • A. Willem Adriaan Rijcken
    Willem Adriaan Rijcken was a Dutch naval officer who served as a vice admiral in the Royal Netherlands Navy in the 19th century.
  • B. Andreas Cornelis van Kuijk
    Andreas Cornelis van Kuijk, better known as Colonel Tom Parker, was the influential and controversial music manager most famous for guiding Elvis Presley’s career.
  • C. Hendrik de Vries
    Hendrik de Vries was a mathematician who supervised and mentored the influential algebraist Bartel Leendert van der Waerden.
  • D. Piet Eeckhout
    Piet Eeckhout is a prominent Belgian legal scholar and professor specializing in European Union law and international economic law.
  • E. Pieter Vos
    Pieter Vos is a relatively obscure individual whose primary current distinction is simply being noted as a bearer of the surname Vos.
  • 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: Hendrik Rijcken
Triple: [Rijcken, hasNotableBearer, Hendrik Rijcken]
Generated description
Hendrik Rijcken was a Dutch naval officer who served as Minister of the Navy in the 19th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hendrik Rijcken
Target entity description: Hendrik Rijcken was a Dutch naval officer who served as Minister of the Navy in the 19th century.
  • A. Willem Adriaan Rijcken
    Willem Adriaan Rijcken was a Dutch naval officer who served as a vice admiral in the Royal Netherlands Navy in the 19th century.
  • B. Andreas Cornelis van Kuijk
    Andreas Cornelis van Kuijk, better known as Colonel Tom Parker, was the influential and controversial music manager most famous for guiding Elvis Presley’s career.
  • C. Hendrik de Vries
    Hendrik de Vries was a mathematician who supervised and mentored the influential algebraist Bartel Leendert van der Waerden.
  • D. Piet Eeckhout
    Piet Eeckhout is a prominent Belgian legal scholar and professor specializing in European Union law and international economic law.
  • E. Pieter Vos
    Pieter Vos is a relatively obscure individual whose primary current distinction is simply being noted as a bearer of the surname Vos.
  • 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e677436af88190a046c44fa45b68b4 completed April 20, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a088afcd0c881908dfe3294d4620a54 completed May 16, 2026, 3:19 p.m.
NEDg Description generation batch_6a088c2bb7c48190b5d6d6d4cddce2c5 completed May 16, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_6a088c8e936c8190897293a0edcdfef9 completed May 16, 2026, 3:26 p.m.
Created at: April 16, 2026, 11:19 a.m.