Triple
T6279910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Voice of Holland |
E140753
|
entity |
| Predicate | winner |
P354
|
FINISHED |
| Object |
Sophia Kruithof
Sophia Kruithof is a Dutch singer who gained national recognition after winning the talent show The Voice of Holland.
|
E593878
|
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: Sophia Kruithof | Statement: [The Voice of Holland, winner, Sophia Kruithof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophia Kruithof Context triple: [The Voice of Holland, winner, Sophia Kruithof]
-
A.
Simone Buitendijk
Simone Buitendijk is a Dutch academic leader and scholar in higher education policy who has served as vice-chancellor of the University of Leeds.
-
B.
Saskia Boddeke
Saskia Boddeke is a Dutch multimedia artist and director known for her immersive installations, opera stagings, and frequent collaborations with filmmaker Peter Greenaway.
-
C.
Sophie Steur
Sophie Steur was the wife of Ukrainian-born French-American film director Anatole Litvak, known for his work in Hollywood and European cinema.
-
D.
Maayke Velders
Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
-
E.
Bianca Hoogendijk
Bianca Hoogendijk is a Dutch woman best known as the wife of former Prime Minister of the Netherlands Jan Peter Balkenende.
- 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: Sophia Kruithof Triple: [The Voice of Holland, winner, Sophia Kruithof]
Generated description
Sophia Kruithof is a Dutch singer who gained national recognition after winning the talent show The Voice of Holland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sophia Kruithof Target entity description: Sophia Kruithof is a Dutch singer who gained national recognition after winning the talent show The Voice of Holland.
-
A.
Simone Buitendijk
Simone Buitendijk is a Dutch academic leader and scholar in higher education policy who has served as vice-chancellor of the University of Leeds.
-
B.
Saskia Boddeke
Saskia Boddeke is a Dutch multimedia artist and director known for her immersive installations, opera stagings, and frequent collaborations with filmmaker Peter Greenaway.
-
C.
Sophie Steur
Sophie Steur was the wife of Ukrainian-born French-American film director Anatole Litvak, known for his work in Hollywood and European cinema.
-
D.
Maayke Velders
Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
-
E.
Bianca Hoogendijk
Bianca Hoogendijk is a Dutch woman best known as the wife of former Prime Minister of the Netherlands Jan Peter Balkenende.
- 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_69c64ba358748190b7c4dbf31e94b02d |
completed | March 27, 2026, 9:19 a.m. |
| NEDg | Description generation | batch_69c64c5e5e5c8190b24aea7e4114daa5 |
completed | March 27, 2026, 9:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64da81a0881908fc5716aeb0e47fa |
completed | March 27, 2026, 9:28 a.m. |
Created at: March 22, 2026, 4:26 p.m.