Triple
T17166560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korn |
E416625
|
entity |
| Predicate | hasSignatureSong |
P7258
|
FINISHED |
| Object |
Make Me Bad
"Make Me Bad" is a popular nu metal song by American band Korn, known for its dark, brooding atmosphere and prominent place in their late-1990s catalog.
|
E1253721
|
NE FINISHED |
How this triple was built (4 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: Make Me Bad | Statement: [Korn, hasSignatureSong, Make Me Bad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Make Me Bad Context triple: [Korn, hasSignatureSong, Make Me Bad]
-
A.
Bad to Me
"Bad to Me" is a 1963 pop song written by John Lennon and Paul McCartney that became a hit single for Billy J. Kramer and the Dakotas.
-
B.
It's Bad for Me
"It's Bad for Me" is a popular song by composer Cole Porter, notably recorded by Ella Fitzgerald on her acclaimed Cole Porter songbook album.
-
C.
So Bad
"So Bad" is a melodic pop ballad by Paul McCartney, released in the early 1980s and noted for its smooth vocals and sentimental lyrics.
-
D.
I'm Bad
"I'm Bad" is a 1987 hardcore hip hop single by LL Cool J, known for its aggressive braggadocio lyrics and status as one of his signature early hits.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Make Me Bad Triple: [Korn, hasSignatureSong, Make Me Bad]
Generated description
"Make Me Bad" is a popular nu metal song by American band Korn, known for its dark, brooding atmosphere and prominent place in their late-1990s catalog.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Make Me Bad Target entity description: "Make Me Bad" is a popular nu metal song by American band Korn, known for its dark, brooding atmosphere and prominent place in their late-1990s catalog.
-
A.
Bad to Me
"Bad to Me" is a 1963 pop song written by John Lennon and Paul McCartney that became a hit single for Billy J. Kramer and the Dakotas.
-
B.
It's Bad for Me
"It's Bad for Me" is a popular song by composer Cole Porter, notably recorded by Ella Fitzgerald on her acclaimed Cole Porter songbook album.
-
C.
So Bad
"So Bad" is a melodic pop ballad by Paul McCartney, released in the early 1980s and noted for its smooth vocals and sentimental lyrics.
-
D.
I'm Bad
"I'm Bad" is a 1987 hardcore hip hop single by LL Cool J, known for its aggressive braggadocio lyrics and status as one of his signature early hits.
-
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. chosen
Provenance (5 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f915622c8190a6dff0baf0288a62 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483d754c819089607cfc87d08d42 |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a014964b0d88190a37fa6be0c837630 |
completed | May 11, 2026, 3:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014a20bb2c8190bbae3009783efc00 |
completed | May 11, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:37 a.m.