Triple
T8544732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barcelona |
E202288
|
entity |
| Predicate | previousAlbum |
P25308
|
FINISHED |
| Object | Mr. Bad Guy |
E403539
|
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: Mr. Bad Guy | Statement: [Barcelona, previousAlbum, Mr. Bad Guy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Bad Guy Context triple: [Barcelona, previousAlbum, Mr. Bad Guy]
-
A.
Mr. Bad Guy
chosen
Mr. Bad Guy is Freddie Mercury’s 1985 debut solo studio album, showcasing his distinctive vocals in a blend of pop, rock, and disco influences.
-
B.
Good to Be Bad
Good to Be Bad is a 2008 hard rock studio album by British band Whitesnake, marking their return with new material after a long hiatus.
-
C.
Mr. Bad Example
Mr. Bad Example is a 1991 studio album by American singer-songwriter Warren Zevon, known for its darkly humorous, narrative-driven rock songs.
-
D.
Bad Is Bad
"Bad Is Bad" is a rock song by Huey Lewis and the News, featured on their hit 1983 album "Sports."
-
E.
You Bad
"You Bad" is a popular Afrobeat/R&B track by Nigerian singer Wande Coal, known for its catchy melody and smooth vocals.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6e4e21c8190afcbca73713a5fa8 |
completed | March 31, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6db3eef08190934f5b42807ad769 |
completed | April 2, 2026, 1:23 p.m. |
Created at: March 30, 2026, 6:18 p.m.