Triple
T8851927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RedOne |
E210656
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bad Romance |
E412733
|
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: Bad Romance | Statement: [RedOne, notableWork, Bad Romance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Romance Context triple: [RedOne, notableWork, Bad Romance]
-
A.
Bad Romance
chosen
"Bad Romance" is a hit pop song by Lady Gaga, known for its dark, theatrical style and iconic music video.
-
B.
Disturbia
Disturbia is a 2007 thriller film about a troubled teenager under house arrest who becomes convinced his neighbor is a serial killer.
-
C.
Bad Love
"Bad Love" is a rock song best known as a hit single by Eric Clapton from his 1989 album Journeyman.
-
D.
We Found Love
"We Found Love" is a globally successful dance-pop and electronic music single by Rihanna featuring Calvin Harris, known for its euphoric production and themes of intense, tumultuous love.
-
E.
Obsession
"Obsession" is a synth-pop single by American singer Sky Ferreira that helped introduce her dark, edgy pop aesthetic to a wider audience.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c3c5548190926e374bbe592180 |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa08c3f0081909a9aad5599f7deb2 |
completed | April 3, 2026, 11:12 a.m. |
Created at: March 30, 2026, 6:49 p.m.