Triple
T17723617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Verstappen |
E442402
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Sophie Kumpen
Sophie Kumpen is a former Belgian kart racing driver and the mother of Formula 1 world champion Max Verstappen.
|
E1283448
|
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: Sophie Kumpen | Statement: [Max Verstappen, mother, Sophie Kumpen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophie Kumpen Context triple: [Max Verstappen, mother, Sophie Kumpen]
-
A.
Sophie Karsten
Sophie Karsten was a Swedish opera singer and actress of the late 18th and early 19th centuries, known both for her stage career and as the mother of famed ballerina Marie Taglioni.
-
B.
Sophie Ryss
Sophie Ryss was the wife of German socialist and anti-war activist Karl Liebknecht.
-
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.
Saskia de Jonge
Saskia de Jonge is a Dutch former competitive swimmer who specialized in freestyle events and represented the Netherlands in international competitions, including the Olympic Games.
-
E.
Sophie Kauer
Sophie Kauer is a British-German cellist and actress best known for her breakout film debut in the 2022 psychological drama "Tár."
- 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: Sophie Kumpen Triple: [Max Verstappen, mother, Sophie Kumpen]
Generated description
Sophie Kumpen is a former Belgian kart racing driver and the mother of Formula 1 world champion Max Verstappen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sophie Kumpen Target entity description: Sophie Kumpen is a former Belgian kart racing driver and the mother of Formula 1 world champion Max Verstappen.
-
A.
Sophie Karsten
Sophie Karsten was a Swedish opera singer and actress of the late 18th and early 19th centuries, known both for her stage career and as the mother of famed ballerina Marie Taglioni.
-
B.
Sophie Ryss
Sophie Ryss was the wife of German socialist and anti-war activist Karl Liebknecht.
-
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.
Saskia de Jonge
Saskia de Jonge is a Dutch former competitive swimmer who specialized in freestyle events and represented the Netherlands in international competitions, including the Olympic Games.
-
E.
Sophie Kauer
Sophie Kauer is a British-German cellist and actress best known for her breakout film debut in the 2022 psychological drama "Tár."
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4748900608190bf5ba04415edaffc |
completed | April 19, 2026, 6:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0230300f548190b9e3bdb6570446ff |
completed | May 11, 2026, 7:38 p.m. |
| NEDg | Description generation | batch_6a02315558cc8190829599a78de8eee2 |
completed | May 11, 2026, 7:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0231e54c308190af6f80f42848536d |
completed | May 11, 2026, 7:45 p.m. |
Created at: April 10, 2026, 10:07 a.m.