Triple
T21613142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blois |
E533359
|
entity |
| Predicate | birthPlaceOf |
P1
|
FINISHED |
| Object | Denis Papin |
—
|
NE NERFINISHED |
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: Denis Papin | Statement: [Blois, birthPlaceOf, Denis Papin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denis Papin Context triple: [Blois, birthPlaceOf, Denis Papin]
-
A.
Denis Papin
chosen
Denis Papin was a French physicist and inventor best known for pioneering the steam digester, an early pressure cooker that contributed to the development of steam power.
-
B.
Ralph Kemplen
Ralph Kemplen was a British film editor known for his work on acclaimed films such as "A Man for All Seasons."
-
C.
Isaac Le Chapelier
Isaac Le Chapelier was a French lawyer and revolutionary politician best known for authoring the Le Chapelier Law of 1791, which banned guilds and workers’ associations during the French Revolution.
-
D.
Joseph Papin
Joseph Papin was a 19th-century Canadian lawyer, journalist, and politician from Lower Canada associated with the radical reformist movement that challenged the colonial establishment.
-
E.
Konstantin Guericke
Konstantin Guericke is a German-American entrepreneur best known as a co-founder of the professional networking platform LinkedIn.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3ba8d7cc8190a59706896a4c073a |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 16, 2026, 6:33 p.m.