Triple
T13277019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France Gall |
E316216
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | France Gall |
E316216
|
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: France Gall | Statement: [France Gall, name, France Gall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: France Gall Context triple: [France Gall, name, France Gall]
-
A.
France Gall
chosen
France Gall was a popular French yé-yé singer and Eurovision winner who became a major figure in French pop music from the 1960s onward.
-
B.
Fran
Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
-
C.
Ferré
Ferré is an Italian surname most prominently associated with Gianfranco Ferré, the influential fashion designer often called the "architect of fashion."
-
D.
Fransat
Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
-
E.
Francois
Francois is the given first name of South African rugby union scrum-half Faf de Klerk.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99042f56c819082440c89c0adc442 |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a54ff488190a759b46963c0d842 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:26 p.m.