Triple

T6279889
Position Surface form Disambiguated ID Type / Status
Subject The Voice of Holland E140753 entity
Predicate coach P2169 FINISHED
Object Angela Groothuizen
Angela Groothuizen is a Dutch singer, television presenter, and talent show judge known for her long career in music and Dutch TV entertainment.
E585268 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: Angela Groothuizen | Statement: [The Voice of Holland, coach, Angela Groothuizen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angela Groothuizen
Context triple: [The Voice of Holland, coach, Angela Groothuizen]
  • A. Maayke Velders
    Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
  • B. Astrid Nienhuis
    Astrid Nienhuis is a Dutch politician who serves as the mayor of the municipality of Heemstede in the Netherlands.
  • C. Barbara Smits
    Barbara Smits was the former wife of Emmy-winning American actor Jimmy Smits and the mother of his two children.
  • D. Sandra Roelofs
    Sandra Roelofs is a Dutch-born public figure and former First Lady of Georgia known for her humanitarian work and involvement in Georgian social and health initiatives.
  • E. Emily Damstra
    Emily Damstra is a Canadian-born scientific illustrator and coin designer known for her detailed nature-themed artwork for the U.S. Mint and other institutions.
  • 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: Angela Groothuizen
Triple: [The Voice of Holland, coach, Angela Groothuizen]
Generated description
Angela Groothuizen is a Dutch singer, television presenter, and talent show judge known for her long career in music and Dutch TV entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Angela Groothuizen
Target entity description: Angela Groothuizen is a Dutch singer, television presenter, and talent show judge known for her long career in music and Dutch TV entertainment.
  • A. Maayke Velders
    Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
  • B. Astrid Nienhuis
    Astrid Nienhuis is a Dutch politician who serves as the mayor of the municipality of Heemstede in the Netherlands.
  • C. Barbara Smits
    Barbara Smits was the former wife of Emmy-winning American actor Jimmy Smits and the mother of his two children.
  • D. Sandra Roelofs
    Sandra Roelofs is a Dutch-born public figure and former First Lady of Georgia known for her humanitarian work and involvement in Georgian social and health initiatives.
  • E. Emily Damstra
    Emily Damstra is a Canadian-born scientific illustrator and coin designer known for her detailed nature-themed artwork for the U.S. Mint and other institutions.
  • 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063ddb3a4819083455f6da854f8a9 completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e411332481908ffff37cad062cce completed March 27, 2026, 1:57 a.m.
NEDg Description generation batch_69c5f91ed43c81909b050767e96ef2cc completed March 27, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_69c5f97c9c1c81908f63b53406dba7ed completed March 27, 2026, 3:29 a.m.
Created at: March 22, 2026, 4:26 p.m.