Triple
T20268022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Warned Myself |
E499017
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | Done for Me |
—
|
NE NERFINISHED |
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: Done for Me | Statement: [I Warned Myself, precededBy, Done for Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Done for Me Context triple: [I Warned Myself, precededBy, Done for Me]
-
A.
Done for Me
chosen
"Done for Me" is a 2018 pop and R&B-influenced single by American singer Charlie Puth featuring Kehlani, known for its retro production and themes of romantic conflict.
-
B.
What I Can Do for You
"What I Can Do for You" is a song by Sheryl Crow from her debut album, blending pop-rock with soulful vocals and socially conscious lyrics.
-
C.
Die For Me
"Die For Me" is a song by Post Malone, featuring Future and Halsey, from his 2019 album "Hollywood’s Bleeding."
-
D.
After Me
"After Me" is a song by the American rock band Every Six Seconds, known among fans of their alternative and post-grunge style.
-
E.
So Done
"So Done" is a soulful R&B single by Alicia Keys featuring Khalid, known for its mellow groove and themes of acceptance and emotional release.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e675dbb7ac8190a40c527f2c02ca50 |
completed | April 20, 2026, 6:52 p.m. |
Created at: April 11, 2026, 11:42 p.m.