Triple

T4528824
Position Surface form Disambiguated ID Type / Status
Subject Piet E106244 entity
Predicate hasNotableBearer P458 FINISHED
Object Piet de Jong
Piet de Jong was a Dutch politician who served as Prime Minister of the Netherlands from 1967 to 1971.
E449294 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: Piet de Jong | Statement: [Piet, hasNotableBearer, Piet de Jong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piet de Jong
Context triple: [Piet, hasNotableBearer, Piet de Jong]
  • A. Hendrik de Vries
    Hendrik de Vries was a mathematician who supervised and mentored the influential algebraist Bartel Leendert van der Waerden.
  • B. Koos Vorrink
    Koos Vorrink was a prominent Dutch social-democratic politician and trade union leader who played a key role in shaping the modern Labour Party (PvdA) in the Netherlands.
  • C. Dirk Jan de Geer
    Dirk Jan de Geer was a Dutch politician who served twice as Prime Minister of the Netherlands, most notably during the early years of World War II.
  • D. Hans van Heeswijk
    Hans van Heeswijk is a Dutch architect known for designing prominent cultural buildings, including major expansions and renovations of museums in the Netherlands.
  • E. Bep Voskuijl
    Bep Voskuijl was a Dutch office worker who helped hide Anne Frank and her family during World War II by providing food, supplies, and support to those in the Secret Annex.
  • 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: Piet de Jong
Triple: [Piet, hasNotableBearer, Piet de Jong]
Generated description
Piet de Jong was a Dutch politician who served as Prime Minister of the Netherlands from 1967 to 1971.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Piet de Jong
Target entity description: Piet de Jong was a Dutch politician who served as Prime Minister of the Netherlands from 1967 to 1971.
  • A. Hendrik de Vries
    Hendrik de Vries was a mathematician who supervised and mentored the influential algebraist Bartel Leendert van der Waerden.
  • B. Koos Vorrink
    Koos Vorrink was a prominent Dutch social-democratic politician and trade union leader who played a key role in shaping the modern Labour Party (PvdA) in the Netherlands.
  • C. Dirk Jan de Geer
    Dirk Jan de Geer was a Dutch politician who served twice as Prime Minister of the Netherlands, most notably during the early years of World War II.
  • D. Hans van Heeswijk
    Hans van Heeswijk is a Dutch architect known for designing prominent cultural buildings, including major expansions and renovations of museums in the Netherlands.
  • E. Bep Voskuijl
    Bep Voskuijl was a Dutch office worker who helped hide Anne Frank and her family during World War II by providing food, supplies, and support to those in the Secret Annex.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd5779593081908593537b9239e01b completed March 20, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda45eadd0819093429e14c88a161d completed March 20, 2026, 7:47 p.m.
NEDg Description generation batch_69bda4e4f5a081908892c4363b3a4989 completed March 20, 2026, 7:49 p.m.
NED2 Entity disambiguation (via description) batch_69bda556d4188190a00d6e6259139c10 completed March 20, 2026, 7:51 p.m.
Created at: March 20, 2026, 1:03 p.m.