Triple
T7533714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie-Louise Pasteur |
E178091
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Marie Pasteur |
E174465
|
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: Marie Pasteur | Statement: [Marie-Louise Pasteur, relative, Marie Pasteur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marie Pasteur Context triple: [Marie-Louise Pasteur, relative, Marie Pasteur]
-
A.
Marie-Louise Pasteur
Marie-Louise Pasteur was a daughter of the renowned French chemist and microbiologist Louis Pasteur.
-
B.
Marie Pasteur (née Laurent)
chosen
Marie Pasteur (née Laurent) was the wife and close collaborator of French chemist and microbiologist Louis Pasteur, supporting his scientific work and managing much of his correspondence and laboratory affairs.
-
C.
Camille Pasteur
Camille Pasteur was one of the children of the renowned French chemist and microbiologist Louis Pasteur.
-
D.
Jean-Baptiste Pasteur
Jean-Baptiste Pasteur was one of the children of the renowned French chemist and microbiologist Louis Pasteur.
-
E.
Louis Pasteur
Louis Pasteur was a pioneering French chemist and microbiologist whose work on germ theory, vaccination, and pasteurization revolutionized medicine and public health.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8493964819086aeddfa4872a70b |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be148dc881909f15e6457f11c775 |
completed | March 29, 2026, 5:52 a.m. |
Created at: March 27, 2026, 3:47 p.m.