Triple
T14593253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All 4 |
E342497
|
entity |
| Predicate | offersContentFrom |
P8172
|
FINISHED |
| Object | 4Music |
E1108965
|
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: 4Music | Statement: [All 4, offersContentFrom, 4Music]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 4Music Context triple: [All 4, offersContentFrom, 4Music]
-
A.
4Music
chosen
4Music is a British free-to-air television channel from Channel 4 that focuses on music videos, entertainment, and pop culture programming.
-
B.
Musiq
Musiq is the stage name of Musiq Soulchild, an American R&B and neo soul singer known for smooth, soulful hits like "Love" and "Just Friends (Sunny)."
-
C.
Big Music
Big Music is a studio album by the Scottish rock band Simple Minds, showcasing their anthemic, synth-infused sound in a modern context.
-
D.
Foston Musik
Foston Musik is a Nigerian record label best known for having signed dancehall and reggae artist Patoranking early in his career.
-
E.
Musique
"Musique" is a popular French pop song by singer France Gall, emblematic of her late-1970s disco-influenced style.
- 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.