Triple
T14593132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | More4 |
E342494
|
entity |
| Predicate | sisterChannel |
P5818
|
FINISHED |
| Object | 4seven |
E342495
|
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: 4seven | Statement: [More4, sisterChannel, 4seven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 4seven Context triple: [More4, sisterChannel, 4seven]
-
A.
4seven
chosen
4seven is a British television channel that broadcasts repeats and highlights of recent Channel 4 programming.
-
B.
sevens
Sevens is a fast-paced, seven-a-side variant of rugby union known for its short matches and emphasis on speed and open play.
-
C.
J7
J7 is a numbered junction on the M60 motorway in Greater Manchester, England, serving as an access point between the motorway and the surrounding local road network.
-
D.
No7
No7 is a popular British skincare and cosmetics brand known for its anti-aging products and science-led formulations, sold primarily through Boots and Walgreens stores.
-
E.
N7
N7 is the IATA airline designator assigned to Nordic Regional Airlines, a Finnish regional carrier.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb43480d8819084a707e56da2c237 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda918542c819099646943be59dd04 |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:24 a.m.