Triple
T19553850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paperwork |
E489257
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | London on da Track |
E1018745
|
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: London on da Track | Statement: [Paperwork, producer, London on da Track]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: London on da Track Context triple: [Paperwork, producer, London on da Track]
-
A.
London on da Track
chosen
London on da Track is an American record producer and songwriter known for crafting melodic trap and hip-hop beats for major artists like Young Thug, Drake, and Rich Gang.
-
B.
Last Train to London
"Last Train to London" is a 1979 disco-influenced pop rock song by Electric Light Orchestra known for its catchy melody, prominent synthesizers, and danceable groove.
-
C.
On the Track
"On the Track" is a 1975 album by Leon Redbone that introduced his distinctive blend of early jazz, blues, and Tin Pan Alley-style songs.
-
D.
The Road to London
The Road to London is a British film directed by Albert Parker, best known as one of his notable works in early 20th-century cinema.
-
E.
Streets of London
"Streets of London" is a folk song, most famously performed by Ralph McTell, that poignantly highlights urban loneliness and social neglect.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d3254548190828a5f7e9a851ef8 |
completed | April 20, 2026, 2:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07577c5adc8190999227c0230dd693 |
completed | May 15, 2026, 5:27 p.m. |
Created at: April 10, 2026, 1:41 p.m.