Triple
T7283786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexis Carrel |
E163815
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Carrel |
E163815
|
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: Carrel | Statement: [Alexis Carrel, familyName, Carrel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carrel Context triple: [Alexis Carrel, familyName, Carrel]
-
A.
Carrel
chosen
Carrel is a French surname most notably borne by Alexis Carrel, a Nobel Prize–winning surgeon and biologist.
-
B.
Carrel Hut
Carrel Hut is a high-altitude mountain refuge on Ecuador’s Chimborazo volcano, used by climbers as a base for summit attempts.
-
C.
Etaux
Etaux is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
-
D.
Louvres
Louvres is a commune in the Val-d'Oise department in the northern suburbs of Paris, France.
-
E.
Bateau-Lavoir
Bateau-Lavoir was a famous early-20th-century artists’ residence and studio complex in Paris’s Montmartre district, known as a hub for avant-garde painters, writers, and bohemians.
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb4ec2088190a6713eaa221d49a6 |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db3ae6a08190820c7096cbfea521 |
completed | March 28, 2026, 1:44 p.m. |
Created at: March 27, 2026, 2:59 p.m.