Triple
T5564446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graines de star |
E145846
|
entity |
| Predicate | originalNetwork |
P2594
|
FINISHED |
| Object | M6 |
E532592
|
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 | Statement: [Graines de star, originalNetwork, M6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M6 Context triple: [Graines de star, originalNetwork, M6]
-
A.
M6
chosen
M6 is a major French television channel known for its general-interest programming, including entertainment shows, series, and reality TV.
-
B.
M6
The M6 is a major north–south motorway in the United Kingdom that runs through the Midlands and North West England, forming a key part of the country’s strategic road network.
-
C.
M61
M61 is a major motorway in North West England connecting Manchester with Preston and linking into the wider UK motorway network.
-
D.
M26
The M26 is a U.S. World War II–era heavy/medium tank, commonly known as the M26 Pershing, that served as a precursor to the American Patton tank series.
-
E.
M16
M16 is a Formula One racing car chassis developed and used by the Midland F1 Racing team in Grand Prix competition.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02032330c819094f2bc1e8c93a5b6 |
completed | March 22, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c059ebd4008190ba410fac13900fe0 |
completed | March 22, 2026, 9:06 p.m. |
Created at: March 22, 2026, 3:36 p.m.