Triple
T7714183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Want Her |
E174839
|
entity |
| Predicate | influencedGenre |
P9
|
FINISHED |
| Object | new jack swing |
E335179
|
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: new jack swing | Statement: [I Want Her, influencedGenre, new jack swing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: new jack swing Context triple: [I Want Her, influencedGenre, new jack swing]
-
A.
new jack swing
chosen
New jack swing is a late-1980s and early-1990s music style that fuses R&B vocals with hip hop beats and production.
-
B.
Swing
Swing is a Java-based GUI toolkit that provides a rich set of components for building platform-independent desktop applications.
-
C.
Funk
Funk is a German surname most notably borne by Walther Funk, a prominent Nazi official and Reich Minister of Economics.
-
D.
Disco
Disco is a 2020 studio album by Australian pop singer Kylie Minogue that pays homage to classic disco music with a modern pop twist.
-
E.
Bop
"Bop" is a popular 2019 hip-hop single by American rapper DaBaby, known for its catchy production and viral music video featuring elaborate choreography.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ca8f048190a6ea27b8cee2f93e |
completed | March 27, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be2831788190a8ba7340b5d4d439 |
completed | March 29, 2026, 5:52 a.m. |
Created at: March 27, 2026, 4:04 p.m.