Triple
T14659985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uh Huh |
E344210
|
entity |
| Predicate | precedesInArtistSingleChronology |
P45797
|
FINISHED |
| Object | Worst in Me |
E344211
|
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: Worst in Me | Statement: [Uh Huh, precedesInArtistSingleChronology, Worst in Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Worst in Me Context triple: [Uh Huh, precedesInArtistSingleChronology, Worst in Me]
-
A.
Worst in Me
chosen
"Worst in Me" is a pop song by American singer-songwriter Julia Michaels that showcases her confessional lyrics and emotionally charged style.
-
B.
The Worst In Me
"The Worst In Me" is a song by American country artist BUBBA.
-
C.
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.
-
D.
The Worst of It
"The Worst of It" is a poem featured in the collection *Dramatis Personae* by the Victorian poet Robert Browning.
-
E.
Best In Me
"Best In Me" is a popular R&B/soul track by Ghanaian singer Efya that showcases her emotive vocals and contemporary African sound.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51c84448190a1f5fa9ab8a1e2c4 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e28f848190a3d686bc11336601 |
completed | May 8, 2026, 12:24 p.m. |
Created at: April 10, 2026, 1:27 a.m.