Triple

T4070306
Position Surface form Disambiguated ID Type / Status
Subject Armin van Buuren E86628 entity
Predicate spouse P13 FINISHED
Object Erika van Thiel
Erika van Thiel is best known as the wife of Dutch trance DJ and record producer Armin van Buuren.
 E417521 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: Erika van Thiel | Statement: [Armin van Buuren, spouse, Erika van Thiel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Erika van Thiel
Context triple: [Armin van Buuren, spouse, Erika van Thiel]
  • A. Astrid Nienhuis
    Astrid Nienhuis is a Dutch politician who serves as the mayor of the municipality of Heemstede in the Netherlands.
  • B. Judith van Leeuwen
    Judith van Leeuwen was the wife of Dutch Golden Age painter and mezzotint engraver Jan Verkolje.
  • C. Maayke Velders
    Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
  • 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. Iris Steensma
    Iris Steensma is the troubled teenage prostitute character from Martin Scorsese’s 1976 film "Taxi Driver," whose role became iconic through Jodie Foster’s acclaimed performance.
  • 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: Erika van Thiel
Triple: [Armin van Buuren, spouse, Erika van Thiel]
Generated description
Erika van Thiel is best known as the wife of Dutch trance DJ and record producer Armin van Buuren.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Erika van Thiel
Target entity description: Erika van Thiel is best known as the wife of Dutch trance DJ and record producer Armin van Buuren.
  • A. Astrid Nienhuis
    Astrid Nienhuis is a Dutch politician who serves as the mayor of the municipality of Heemstede in the Netherlands.
  • B. Judith van Leeuwen
    Judith van Leeuwen was the wife of Dutch Golden Age painter and mezzotint engraver Jan Verkolje.
  • C. Maayke Velders
    Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
  • 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. Iris Steensma
    Iris Steensma is the troubled teenage prostitute character from Martin Scorsese’s 1976 film "Taxi Driver," whose role became iconic through Jodie Foster’s acclaimed performance.
  • 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc1f6d9c8190845d2fcd15fcdfd6 completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f18218881908c95266c6b18ad47 completed March 14, 2026, 3:30 p.m.
NEDg Description generation batch_69b57fad66e08190a973186c19659ee8 completed March 14, 2026, 3:33 p.m.
NED2 Entity disambiguation (via description) batch_69b58028e7108190a6c92fc9ea300f9e completed March 14, 2026, 3:35 p.m.
Created at: March 9, 2026, 3:38 p.m.