Triple
T3196986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay Sean |
E66957
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Down |
E336666
|
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: Down | Statement: [Jay Sean, notableWork, Down]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Down Context triple: [Jay Sean, notableWork, Down]
-
A.
Down
Down is a historic county in Northern Ireland known for its coastal landscapes, the Mourne Mountains, and its role in Irish and British history.
-
B.
Down
chosen
"Down" is a 2009 R&B-pop single by British singer Jay Sean featuring Lil Wayne that became an international hit and topped the US Billboard Hot 100.
-
C.
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.
-
D.
Reach Down
"Reach Down" is a lengthy, blues-influenced rock song by the grunge supergroup Temple of the Dog, showcasing extended guitar work and Chris Cornell's powerful vocals.
-
E.
How Low
"How Low" is a popular hip-hop single by American rapper Ludacris, known for its catchy hook and heavy club-oriented production.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada7177b488190b7a1b40ff3fae15f |
completed | March 8, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b262181a4c8190b31bbb6bd7bef436 |
completed | March 12, 2026, 6:50 a.m. |
Created at: March 8, 2026, 3:07 p.m.