Triple
T10256780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grégoire Lyonnet |
E240489
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | TF1 |
E339510
|
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: TF1 | Statement: [Grégoire Lyonnet, employer, TF1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TF1 Context triple: [Grégoire Lyonnet, employer, TF1]
-
A.
TF1 Studio
TF1 Studio is the film and television production and distribution arm of the French media conglomerate TF1 Group.
-
B.
TF1 Publicité
TF1 Publicité is the advertising sales arm of the French media conglomerate TF1 Group, responsible for managing and commercializing its advertising inventory across television and other platforms.
-
C.
TF1 channel
chosen
TF1 channel is a major French free-to-air television network known for its general-interest programming, including news, entertainment, and popular series.
-
D.
TF
TF is the vehicle registration code used for motor vehicles registered in the Spanish province of Santa Cruz de Tenerife in the Canary Islands.
-
E.
TF
TF is the French abbreviation for the Federal Supreme Court of Switzerland, the country’s highest judicial authority.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d24d299881909615872e2777bdea |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7e153b0819084708b6f7127cdea |
completed | April 9, 2026, 12:50 a.m. |
Created at: April 6, 2026, 11:31 a.m.