Triple
T10209839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RTL Group |
E242297
|
entity |
| Predicate | subsidiary |
P258
|
FINISHED |
| Object | M6 Group |
E849555
|
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: M6 Group | Statement: [RTL Group, subsidiary, M6 Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M6 Group Context triple: [RTL Group, subsidiary, M6 Group]
-
A.
M6 Group
chosen
M6 Group is a major French media company best known for operating the popular television channel M6 and a portfolio of TV, radio, and digital media services.
-
B.
Mace Group
Mace Group is a global construction and consultancy company known for delivering major complex projects, including high-profile sports stadiums and landmark buildings.
-
C.
Morar Group
The Morar Group is a sequence of metamorphic rock formations in the Scottish Highlands that forms part of the ancient Moine geology.
-
D.
Seven Group Holdings
Seven Group Holdings is an Australian diversified investment and operating company with major interests in media, industrial services, and energy.
-
E.
WB Group
WB Group is a leading Polish defense technology company specializing in advanced military communications, unmanned systems, and battlefield management solutions.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d395fbed008190b66996f5bb397853 |
completed | April 6, 2026, 11:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a7f6730081908b941eaeb6c00993 |
completed | April 8, 2026, 7:09 p.m. |
Created at: April 6, 2026, 11 a.m.