Triple
T21583894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M6 |
E532592
|
entity |
| Predicate | parentCompany |
P254
|
FINISHED |
| Object | Groupe M6 |
—
|
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: Groupe M6 | Statement: [M6, parentCompany, Groupe M6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Groupe M6 Context triple: [M6, parentCompany, Groupe M6]
-
A.
Groupe M6
chosen
Groupe M6 is a major French media conglomerate best known for operating the national television channel M6 and a portfolio of TV, radio, and digital media outlets.
-
B.
Groupe TVA
Groupe TVA is a major Canadian French-language media company that operates television networks, specialty channels, and related media services, primarily in Quebec.
-
C.
Lagardère Group
Lagardère Group is a major French multinational media conglomerate with core businesses in publishing, travel retail, and entertainment.
-
D.
TF1 Group
TF1 Group is a major French media conglomerate best known for operating France’s leading television channel TF1 and various other broadcasting and digital media assets.
-
E.
Printemps Group
Printemps Group is a French retail company best known for operating the historic Printemps department stores, including the flagship Printemps Haussmann in Paris.
- 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_69e0c4618bec8190bcb0feb74568cbb1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb5f2cc0819095552de70eb2ad8d |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 16, 2026, 6:31 p.m.