Triple
T16672846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nowhere Generation |
E405146
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | The Numbers |
E1227293
|
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: The Numbers | Statement: [Nowhere Generation, hasSingle, The Numbers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Numbers Context triple: [Nowhere Generation, hasSingle, The Numbers]
-
A.
The Numbers
"The Numbers" is a Radiohead song from their 2016 album *A Moon Shaped Pool*, known for its environmental themes and lush, orchestral arrangement.
-
B.
The Numbers
chosen
The Numbers is a song by punk rock band Rise Against featured on their album "Nowhere Generation."
-
C.
On Numbers
"On Numbers" is a lost philosophical treatise by the Neopythagorean thinker Numenius of Apamea, likely exploring the metaphysical and symbolic significance of numbers.
-
D.
Everything Counts
"Everything Counts" is a 1983 synth-pop song by Depeche Mode that critiques corporate greed and corruption, known for its distinctive sampling and xylophone-like hook.
-
E.
Got Your Number
"Got Your Number" is a pop-rock song by Canadian singer-songwriter Serena Ryder, known for its catchy melody and soulful, energetic vocals.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca276848190b7562d7cb88d21e0 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091927a408190a612a9ae2fd30d0a |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.