Triple

T6279893
Position Surface form Disambiguated ID Type / Status
Subject The Voice of Holland E140753 entity
Predicate coach P2169 FINISHED
Object Anouk
Anouk is a Dutch singer-songwriter known for her powerful rock vocals and numerous chart-topping hits in the Netherlands.
E583109 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: Anouk | Statement: [The Voice of Holland, coach, Anouk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anouk
Context triple: [The Voice of Holland, coach, Anouk]
  • A. Aline
    Aline is a feminine given name of French origin, commonly used in various cultures and languages.
  • B. Laetitia
    Laetitia is a feminine given name of Latin origin, historically borne by figures such as the English poet and essayist Anna Laetitia Barbauld.
  • C. Carine
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • D. Renée
    Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
  • E. Emilie
    Emilie is a young French girl in Michael Morpurgo’s novel and its film adaptation "War Horse," who befriends and cares for the horses Joey and Topthorn during World War I.
  • 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: Anouk
Triple: [The Voice of Holland, coach, Anouk]
Generated description
Anouk is a Dutch singer-songwriter known for her powerful rock vocals and numerous chart-topping hits in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anouk
Target entity description: Anouk is a Dutch singer-songwriter known for her powerful rock vocals and numerous chart-topping hits in the Netherlands.
  • A. Aline
    Aline is a feminine given name of French origin, commonly used in various cultures and languages.
  • B. Laetitia
    Laetitia is a feminine given name of Latin origin, historically borne by figures such as the English poet and essayist Anna Laetitia Barbauld.
  • C. Carine
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • D. Renée
    Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
  • E. Emilie
    Emilie is a young French girl in Michael Morpurgo’s novel and its film adaptation "War Horse," who befriends and cares for the horses Joey and Topthorn during World War I.
  • 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_69c5195bcbb88190a8ff5958b5f89b4b completed March 26, 2026, 11:32 a.m.
NEDg Description generation batch_69c52cc711d48190bfcc6ab993b0eb31 completed March 26, 2026, 12:55 p.m.
NED2 Entity disambiguation (via description) batch_69c5931a61208190b7681d16c07ab90c completed March 26, 2026, 8:12 p.m.
Created at: March 22, 2026, 4:26 p.m.