Triple
T20289285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierre Verne |
E509974
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Pierre Verne |
—
|
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: Pierre Verne | Statement: [Pierre Verne, name, Pierre Verne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pierre Verne Context triple: [Pierre Verne, name, Pierre Verne]
-
A.
Pierre Verne
chosen
Pierre Verne was a 19th-century French lawyer and the father of famed science fiction author Jules Verne.
-
B.
Jean Perréal
Jean Perréal was a prominent French Renaissance painter and court artist known for his portraits, miniatures, and decorative works for the French monarchy.
-
C.
Émile Maupas
Émile Maupas was a French zoologist and protozoologist known for pioneering work in nematode biology, including the early characterization of the model organism Caenorhabditis elegans.
-
D.
Pierre Aïm
Pierre Aïm is a French cinematographer known for his work on acclaimed films such as "La Haine" and "Polisse."
-
E.
Pierre Méhaignerie
Pierre Méhaignerie is a French centrist politician who has held several ministerial posts and long served as a prominent figure in France’s Christian democratic and center-right movements.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67694d50881909d59c1037295c1d0 |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 11:10 a.m.