Triple
T20520375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Train in Vain |
E503790
|
entity |
| Predicate | partOfAlbum |
P35
|
FINISHED |
| Object | London Calling |
—
|
NE NERFINISHED |
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: London Calling | Statement: [Train in Vain, partOfAlbum, London Calling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: London Calling Context triple: [Train in Vain, partOfAlbum, London Calling]
-
A.
London Calling
chosen
"London Calling" is a landmark 1979 album by British punk rock band The Clash that blends punk with reggae, rockabilly, and ska while addressing social and political themes.
-
B.
Urban Hymns
Urban Hymns is a critically acclaimed 1997 Britpop/alternative rock album by The Verve, best known for its hit single "Bitter Sweet Symphony."
-
C.
God Save Rock n Roll
"God Save Rock n Roll" is a rock song by the band Rebel Soul, known for its rebellious, high-energy celebration of rock music.
-
D.
In the Streets
"In the Streets" is a punk rock song by Rancid featured on their album "Honor Is All We Know."
-
E.
Jesus of Suburbia
Jesus of Suburbia is the disillusioned suburban anti-hero and central character in Green Day’s rock opera narrative on the album "American Idiot."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f4587c481908544f89572d164b0 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.