Triple
T9678524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billy J. Kramer and the Dakotas |
E234222
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
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.
|
E813872
|
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: Bad to Me | Statement: [Billy J. Kramer and the Dakotas, notableWork, Bad to Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad to Me Context triple: [Billy J. Kramer and the Dakotas, notableWork, Bad to Me]
-
A.
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.
-
B.
Bad as Me
Bad as Me is a critically acclaimed 2011 studio album by American singer-songwriter Tom Waits, noted for its raw, eclectic sound and vivid storytelling.
-
C.
Sick of Me
"Sick of Me" is a song by the American rock band Shinedown from their album "Shenanigans."
-
D.
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.
-
E.
Worst in Me
"Worst in Me" is a pop song by American singer-songwriter Julia Michaels that showcases her confessional lyrics and emotionally charged style.
- 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: Bad to Me Triple: [Billy J. Kramer and the Dakotas, notableWork, Bad to Me]
Generated description
"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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bad to Me Target entity description: "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.
-
A.
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.
-
B.
Bad as Me
Bad as Me is a critically acclaimed 2011 studio album by American singer-songwriter Tom Waits, noted for its raw, eclectic sound and vivid storytelling.
-
C.
Sick of Me
"Sick of Me" is a song by the American rock band Shinedown from their album "Shenanigans."
-
D.
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.
-
E.
Worst in Me
"Worst in Me" is a pop song by American singer-songwriter Julia Michaels that showcases her confessional lyrics and emotionally charged style.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9c9b01708190aaf51cf4d36015a0 |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a34adec8190a4a260d029e408aa |
completed | April 4, 2026, 10:01 p.m. |
| NEDg | Description generation | batch_69d18aa1e9a48190bf26da5482fd0770 |
completed | April 4, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18b6a2fb0819092ee274310721b50 |
completed | April 4, 2026, 10:06 p.m. |
Created at: March 30, 2026, 8:16 p.m.