Triple
T10246338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar Symphony |
E240221
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Drop |
E544952
|
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: Drop | Statement: [Sugar Symphony, hasTrack, Drop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drop Context triple: [Sugar Symphony, hasTrack, Drop]
-
A.
Drop
"Drop" is an R&B song by the sister duo Chloe x Halle that helped introduce their atmospheric, harmony-rich sound to a wider audience.
-
B.
Drop
chosen
"Drop" is a critically acclaimed 1995 hip-hop single by The Pharcyde, known for its innovative production by J Dilla and its iconic reverse-motion music video directed by Spike Jonze.
-
C.
Let Down
"Let Down" is a melancholic, layered art-rock song by Radiohead from their acclaimed 1997 album OK Computer, noted for its intricate guitar work and themes of alienation.
-
D.
The Drop
The Drop is a crime drama novel by Dennis Lehane that follows a lonely bartender entangled in a dangerous scheme involving mob money, a stray dog, and a mysterious woman in working-class Brooklyn.
-
E.
The Drop
The Drop is a crime novel by Michael Connelly featuring LAPD detective Harry Bosch as he investigates two seemingly unrelated cases involving a cold-case DNA hit and political corruption.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22cfe1c8190afae178e11a59b8b |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7a597188190880200d13784f18f |
completed | April 9, 2026, 12:49 a.m. |
Created at: April 6, 2026, 11:26 a.m.