Triple
T17464853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Now |
E425247
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | Poor 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: Poor Me | Statement: [Now, track, Poor Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poor Me Context triple: [Now, track, Poor Me]
-
A.
Poor Me
chosen
"Poor Me" is a hit 1959 pop single by British singer Adam Faith that helped establish his early chart success.
-
B.
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.
-
C.
Why Me
"Why Me" is a popular Afrobeat song by Nigerian artist D'banj that helped cement his status as a leading figure in contemporary African pop music.
-
D.
Why Me
"Why Me" is a 1973 country-gospel song by Kris Kristofferson that became one of his biggest hits and a classic of reflective, spiritual songwriting.
-
E.
Why Me
"Why Me" is a notable work by Bangalee, recognized as one of the key creations that contributed to their prominence.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a6c2e08190bca9de56ee2f5136 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.