Triple
T18783147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toto Wolff |
E459308
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Susie Wolff
Susie Wolff is a former professional racing driver and current motorsport executive who has been a prominent advocate for women in Formula One and broader motorsport.
|
E1342577
|
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: Susie Wolff | Statement: [Toto Wolff, spouse, Susie Wolff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susie Wolff Context triple: [Toto Wolff, spouse, Susie Wolff]
-
A.
Emilie Vettel
Emilie Vettel is one of the daughters of German four-time Formula 1 World Champion Sebastian Vettel.
-
B.
Matilda Vettel
Matilda Vettel is one of the daughters of German four-time Formula One World Champion Sebastian Vettel.
-
C.
Natalie Gurney
Natalie Gurney is best known as the wife of American politician Edward Gurney, a former U.S. Senator from Florida.
-
D.
Jodie Haydon
Jodie Haydon is an Australian financial professional and women's advocate who is publicly known as the partner of Prime Minister Anthony Albanese.
-
E.
Yuki Tsunoda
Yuki Tsunoda is a Japanese Formula 1 racing driver who competes for Red Bull Racing and is known for his aggressive driving style and rapid rise through the junior categories.
- 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: Susie Wolff Triple: [Toto Wolff, spouse, Susie Wolff]
Generated description
Susie Wolff is a former professional racing driver and current motorsport executive who has been a prominent advocate for women in Formula One and broader motorsport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susie Wolff Target entity description: Susie Wolff is a former professional racing driver and current motorsport executive who has been a prominent advocate for women in Formula One and broader motorsport.
-
A.
Emilie Vettel
Emilie Vettel is one of the daughters of German four-time Formula 1 World Champion Sebastian Vettel.
-
B.
Matilda Vettel
Matilda Vettel is one of the daughters of German four-time Formula One World Champion Sebastian Vettel.
-
C.
Natalie Gurney
Natalie Gurney is best known as the wife of American politician Edward Gurney, a former U.S. Senator from Florida.
-
D.
Jodie Haydon
Jodie Haydon is an Australian financial professional and women's advocate who is publicly known as the partner of Prime Minister Anthony Albanese.
-
E.
Yuki Tsunoda
Yuki Tsunoda is a Japanese Formula 1 racing driver who competes for Red Bull Racing and is known for his aggressive driving style and rapid rise through the junior categories.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5977f34e48190a9932af330ea4f92 |
completed | April 20, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a054718db388190aa9beeffa47486d5 |
completed | May 14, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_6a05494df63081909b1f6d64ae3a949b |
completed | May 14, 2026, 4:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0549acb4c88190adc1ffbd00d66ce7 |
completed | May 14, 2026, 4:03 a.m. |
Created at: April 10, 2026, 11:52 a.m.