Triple
T15454740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prieur de la Marne |
E371740
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Prieur |
E371740
|
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: Prieur | Statement: [Prieur de la Marne, familyName, Prieur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prieur Context triple: [Prieur de la Marne, familyName, Prieur]
-
A.
Prieur de la Marne
chosen
Prieur de la Marne was a French revolutionary politician and member of the National Convention who played a significant role in the radical phase of the French Revolution.
-
B.
Geoffrion
Geoffrion is a French-Canadian surname most famously associated with Hall of Fame ice hockey player Bernie "Boom Boom" Geoffrion.
-
C.
Surpierre
Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
-
D.
Sorvilier
Sorvilier is a small municipality in the French-speaking Bernese Jura region of the canton of Bern in Switzerland.
-
E.
Count of Blois
The Count of Blois was a medieval French noble title associated with the powerful lords who ruled the strategically important county of Blois in central France.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f131b1481909ff099c3b844ee07 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21b5e1788190bdc8182822f25fa1 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:31 a.m.