Triple
T9553053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Town |
E230469
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Don't Let It Bring You Down |
E472208
|
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: Don't Let It Bring You Down | Statement: [London Town, hasTrack, Don't Let It Bring You Down]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don't Let It Bring You Down Context triple: [London Town, hasTrack, Don't Let It Bring You Down]
-
A.
Don’t Let It Bring You Down
chosen
"Don’t Let It Bring You Down" is a reflective folk-rock song by Neil Young, known for its melancholic lyrics and acoustic arrangement.
-
B.
Don’t Bring Me Down
"Don’t Bring Me Down" is a 1964 pop song written by Gerry Goffin and Carole King, first recorded and released by The Animals.
-
C.
Don’t Bring Me Down
"Don’t Bring Me Down" is a song featured on Saga’s progressive rock album *The Human Condition*.
-
D.
Don't Bring Me Down
"Don't Bring Me Down" is a 1979 rock song by Electric Light Orchestra, known for its heavy, drum-driven sound and status as one of the band's biggest hits.
-
E.
Don’t Let Me Down
“Don’t Let Me Down” is a 2016 EDM-pop hit by The Chainsmokers featuring Daya, known for its emotional lyrics, pulsing drop, and widespread commercial success.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99217de48190b528e14fd02ee987 |
completed | April 1, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d15286f7c881909258b9f06a81e464 |
completed | April 4, 2026, 6:03 p.m. |
Created at: March 30, 2026, 8:02 p.m.