Triple
T18394248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | François-Henri |
E449821
|
entity |
| Predicate | hasAccent |
P14722
|
FINISHED |
| Object | François contains the letter ç |
—
|
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: François contains the letter ç | Statement: [François-Henri, hasAccent, François contains the letter ç]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: François contains the letter ç Context triple: [François-Henri, hasAccent, François contains the letter ç]
-
A.
La Frenais
La Frenais is a surname most notably associated with British television writer Ian La Frenais, known for co-creating several classic UK comedy series.
-
B.
Francois
chosen
Francois is the given first name of South African rugby union scrum-half Faf de Klerk.
-
C.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
D.
Cazeneuve
Cazeneuve is a French surname most notably borne by Bernard Cazeneuve, a prominent French politician and former Prime Minister of France.
-
E.
Le François
Le François is a coastal commune on the eastern side of Martinique in the French Caribbean, known for its sheltered bays, islets, and traditional fishing and agricultural activities.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e51845d6708190bc96ec801e21b7a3 |
completed | April 19, 2026, 6 p.m. |
Created at: April 10, 2026, 10:46 a.m.