Triple
T20436459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takin' It Back |
E501261
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Bad For Me
"Bad For Me" is a pop song by Meghan Trainor, featuring Teddy Swims, known for its emotional lyrics about setting boundaries in a toxic relationship.
|
E1431349
|
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 For Me | Statement: [Takin' It Back, hasPart, Bad For Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad For Me Context triple: [Takin' It Back, hasPart, Bad For Me]
-
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.
Good For Me
"Good For Me" is a melodic trance track by British electronic music group Above & Beyond, known for its emotive vocals and uplifting, atmospheric production.
-
D.
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.
-
E.
Bad for You
"Bad for You" is a song that appears as the B-side to the single "Some Guys Have All the Luck."
- 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 For Me Triple: [Takin' It Back, hasPart, Bad For Me]
Generated description
"Bad For Me" is a pop song by Meghan Trainor, featuring Teddy Swims, known for its emotional lyrics about setting boundaries in a toxic relationship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bad For Me Target entity description: "Bad For Me" is a pop song by Meghan Trainor, featuring Teddy Swims, known for its emotional lyrics about setting boundaries in a toxic relationship.
-
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.
Good For Me
"Good For Me" is a melodic trance track by British electronic music group Above & Beyond, known for its emotive vocals and uplifting, atmospheric production.
-
D.
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.
-
E.
Bad for You
"Bad for You" is a song that appears as the B-side to the single "Some Guys Have All the Luck."
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ef5fc8819089e3f97a63a52f86 |
completed | April 20, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0883fb46d081909ac630cf1dca232a |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a0885ad2b0c8190970ea6631d2d06be |
completed | May 16, 2026, 2:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08862f9da481909b2d7bf2f27522cc |
completed | May 16, 2026, 2:58 p.m. |
Created at: April 16, 2026, 11:31 a.m.