Triple
T3595494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudolf Virchow |
E76129
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Rose Mayer |
E76129
|
NE FINISHED |
How this triple was built (2 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: Rose Mayer | Statement: [Rudolf Virchow, spouse, Rose Mayer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rose Mayer Context triple: [Rudolf Virchow, spouse, Rose Mayer]
-
A.
Rose Mayer
chosen
Rose Mayer was the wife of influential German physician and pathologist Rudolf Virchow, a key figure in 19th-century medical and scientific circles.
-
B.
Catherine Bauer Wurster
Catherine Bauer Wurster was a pioneering American housing policy expert and reformer who helped shape modern public housing and urban planning in the United States.
-
C.
Mary Costa
Mary Costa is an American operatic soprano and actress best known for providing the voice of Princess Aurora in Disney's animated film "Sleeping Beauty."
-
D.
Nancy Schön
Nancy Schön is an American sculptor best known for her beloved public bronze sculptures, including the iconic "Make Way for Ducklings" installation in Boston.
-
E.
Rosemarie DeWitt
Rosemarie DeWitt is an American actress known for her work in film and television, including prominent roles in projects like "Rachel Getting Married," "United States of Tara," and "La La Land."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc15f41cc819085b3e897d823757d |
completed | March 8, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b403130cf081909bb90800d7dc2d6f |
completed | March 13, 2026, 12:29 p.m. |
Created at: March 8, 2026, 3:22 p.m.