Triple
T7950233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Need Love |
E184594
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | I’m Bad |
E704612
|
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: I’m Bad | Statement: [I Need Love, precededBy, I’m Bad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I’m Bad Context triple: [I Need Love, precededBy, I’m Bad]
-
A.
I'm Bad
chosen
"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.
-
B.
U Got It Bad
"U Got It Bad" is a hit R&B ballad by Usher, released in 2001, known for its smooth production and emotional portrayal of intense romantic longing.
-
C.
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.
-
D.
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.
-
E.
Bad and Crazy
Bad and Crazy is a South Korean action-fantasy drama series that blends crime investigation with dark humor and a split-personality vigilante hero.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b2d09a4819097aa49e29a5426ec |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc937e687081908ae33ae7335d685e |
completed | April 1, 2026, 3:39 a.m. |
Created at: March 30, 2026, 5:10 p.m.