Triple
T16437217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forevermore |
E399207
|
entity |
| Predicate | previousWork |
P9710
|
FINISHED |
| Object | Good to Be Bad |
E399206
|
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: Good to Be Bad | Statement: [Forevermore, previousWork, Good to Be Bad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Good to Be Bad Context triple: [Forevermore, previousWork, Good to Be Bad]
-
A.
Good to Be Bad
chosen
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.
-
B.
Let’s Be Bad
"Let’s Be Bad" is a high-energy musical number from the TV series Smash, performed within the fictional Marilyn Monroe musical Bombshell.
-
C.
Bad Is Bad
"Bad Is Bad" is a rock song by Huey Lewis and the News, featured on their hit 1983 album "Sports."
-
D.
Born to Be Bad
Born to Be Bad is a 1950 film noir–style drama starring Joan Fontaine as a manipulative social climber entangled in romance and deceit.
-
E.
Used to Be Bad
"Used to Be Bad" is a blues-influenced rock song by Paul McCartney and Steve Miller, featured on McCartney's 1997 album "Flaming Pie."
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba49f3481908e7ea62467ef5813 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f4971e08190821d6b5aeed05624 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:10 a.m.