Triple
T5404866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warburg family |
E120866
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Mary Warburg
Mary Warburg was a German-American painter and sculptor associated with the prominent Warburg banking and intellectual family.
|
E517853
|
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: Mary Warburg | Statement: [Warburg family, member, Mary Warburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Warburg Context triple: [Warburg family, member, Mary Warburg]
-
A.
Hilda Geiringer
Hilda Geiringer was an Austrian-American mathematician and pioneering applied probabilist, notable as one of the first women to hold a professorship in mathematics and for her contributions to applied mathematics and mechanics.
-
B.
Marie Witschi-Courant
Marie Witschi-Courant was the wife of Swiss surgeon and Nobel laureate Emil Theodor Kocher.
-
C.
Marie Reimer
Marie Reimer was the wife of renowned German classical scholar and historian Theodor Mommsen.
-
D.
Louise Mueller
Louise Mueller is a notable individual who shares the surname Mueller and has achieved sufficient recognition to be distinguished among its bearers.
-
E.
Hermine Jellinek
Hermine Jellinek was a member of the Jellinek family, historically associated with the early development and naming of the Mercedes automobile brand.
- 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: Mary Warburg Triple: [Warburg family, member, Mary Warburg]
Generated description
Mary Warburg was a German-American painter and sculptor associated with the prominent Warburg banking and intellectual family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Warburg Target entity description: Mary Warburg was a German-American painter and sculptor associated with the prominent Warburg banking and intellectual family.
-
A.
Hilda Geiringer
Hilda Geiringer was an Austrian-American mathematician and pioneering applied probabilist, notable as one of the first women to hold a professorship in mathematics and for her contributions to applied mathematics and mechanics.
-
B.
Marie Witschi-Courant
Marie Witschi-Courant was the wife of Swiss surgeon and Nobel laureate Emil Theodor Kocher.
-
C.
Marie Reimer
Marie Reimer was the wife of renowned German classical scholar and historian Theodor Mommsen.
-
D.
Louise Mueller
Louise Mueller is a notable individual who shares the surname Mueller and has achieved sufficient recognition to be distinguished among its bearers.
-
E.
Hermine Jellinek
Hermine Jellinek was a member of the Jellinek family, historically associated with the early development and naming of the Mercedes automobile brand.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8775e964819085c0ff5afea35f0e |
completed | March 20, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf339037b4819084423826b7252002 |
completed | March 22, 2026, 12:10 a.m. |
| NEDg | Description generation | batch_69bf34fccbd88190a8e32ccaa86b72e8 |
completed | March 22, 2026, 12:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf35570404819090e553b7921c4cb8 |
completed | March 22, 2026, 12:18 a.m. |
Created at: March 20, 2026, 2:05 p.m.