Triple
T7533710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie-Louise Pasteur |
E178091
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Pasteur |
E178091
|
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: Pasteur | Statement: [Marie-Louise Pasteur, familyName, Pasteur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pasteur Context triple: [Marie-Louise Pasteur, familyName, Pasteur]
-
A.
Camille Pasteur
Camille Pasteur was one of the children of the renowned French chemist and microbiologist Louis Pasteur.
-
B.
Pasteur Bizimungu
Pasteur Bizimungu is a Rwandan politician who served as president of Rwanda in the years following the 1994 genocide.
-
C.
Jean-Baptiste Pasteur
Jean-Baptiste Pasteur was one of the children of the renowned French chemist and microbiologist Louis Pasteur.
-
D.
Marie-Louise Pasteur
chosen
Marie-Louise Pasteur was a daughter 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_69c84f0765b48190b8df68f22c8901f4 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:47 p.m.