Triple
T10351776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Léon Zitrone |
E243897
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | France 2 |
E331152
|
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 2 | Statement: [Léon Zitrone, employer, France 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: France 2 Context triple: [Léon Zitrone, employer, France 2]
-
A.
France 2
chosen
France 2 is a major French public television channel that forms part of the France Télévisions group and broadcasts a wide range of news, entertainment, and cultural programming nationwide.
-
B.
France 3
France 3 is a French public television channel known for its regional programming and news coverage as part of the France Télévisions group.
-
C.
france.tv
france.tv is the official online streaming and catch-up TV platform of the French public broadcaster France Télévisions, offering live channels and on-demand programs.
-
D.
France Télévisions
France Télévisions is France’s national public television broadcaster, operating multiple channels and providing a wide range of news, sports, and cultural programming.
-
E.
France Info
France Info is a French public rolling news television channel providing continuous national and international news coverage.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9489f9481908fc1c818e81c1cc2 |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d75095625c819082d4d0976a193e6c |
completed | April 9, 2026, 7:09 a.m. |
Created at: April 6, 2026, 11:57 a.m.