Triple
T19991061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hauser & Wirth |
E494064
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Ursula Hauser
Ursula Hauser is a Swiss art collector and co-founder of the influential contemporary art gallery Hauser & Wirth.
|
E1408066
|
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: Ursula Hauser | Statement: [Hauser & Wirth, foundedBy, Ursula Hauser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ursula Hauser Context triple: [Hauser & Wirth, foundedBy, Ursula Hauser]
-
A.
Ursula Hess
Ursula Hess was the wife of Wolf Rüdiger Hess, the son of prominent Nazi official Rudolf Hess.
-
B.
Ursula Seiler-Ayçiçek
Ursula Seiler-Ayçiçek is a German local politician who serves as the mayor of the town of Herbrechtingen in Baden-Württemberg.
-
C.
Ursula Reit
Ursula Reit was a German actress best known for her role as Mrs. Gloop in the 1971 film "Willy Wonka & the Chocolate Factory."
-
D.
Ute Ohoven
Ute Ohoven is a German philanthropist and UNESCO Special Ambassador known for her extensive charity work, particularly in support of children and education.
-
E.
Annette Haas
Annette Haas is best known as the mother of French singer-songwriter and composer Michel Berger.
- 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: Ursula Hauser Triple: [Hauser & Wirth, foundedBy, Ursula Hauser]
Generated description
Ursula Hauser is a Swiss art collector and co-founder of the influential contemporary art gallery Hauser & Wirth.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ursula Hauser Target entity description: Ursula Hauser is a Swiss art collector and co-founder of the influential contemporary art gallery Hauser & Wirth.
-
A.
Ursula Hess
Ursula Hess was the wife of Wolf Rüdiger Hess, the son of prominent Nazi official Rudolf Hess.
-
B.
Ursula Seiler-Ayçiçek
Ursula Seiler-Ayçiçek is a German local politician who serves as the mayor of the town of Herbrechtingen in Baden-Württemberg.
-
C.
Ursula Reit
Ursula Reit was a German actress best known for her role as Mrs. Gloop in the 1971 film "Willy Wonka & the Chocolate Factory."
-
D.
Ute Ohoven
Ute Ohoven is a German philanthropist and UNESCO Special Ambassador known for her extensive charity work, particularly in support of children and education.
-
E.
Annette Haas
Annette Haas is best known as the mother of French singer-songwriter and composer Michel Berger.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe00b908190bda6b9a3a3281ec0 |
completed | April 20, 2026, 5:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0815f277ec8190b7f4a15baa3ceb49 |
completed | May 16, 2026, 7 a.m. |
| NEDg | Description generation | batch_6a081675aebc8190918dc43e76468d08 |
completed | May 16, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08171724cc81908d6997dbae84ad9e |
completed | May 16, 2026, 7:04 a.m. |
Created at: April 11, 2026, 3:31 p.m.