Triple
T10244400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chlöe Bailey |
E240174
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | "Treat Me" |
E606075
|
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: "Treat Me" | Statement: [Chlöe Bailey, notableSingle, "Treat Me"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Treat Me" Context triple: [Chlöe Bailey, notableSingle, "Treat Me"]
-
A.
"Treat Me"
chosen
"Treat Me" is a confident, R&B-infused pop single by American singer Chloe Bailey that showcases her powerful vocals and themes of self-worth and independence.
-
B.
Treat Myself
Treat Myself is a pop album by American singer-songwriter Meghan Trainor that blends upbeat, self-empowerment anthems with contemporary production.
-
C.
Touch Me
"Touch Me" is an R&B song by American singer-songwriter Victoria Monét, known for its sensual lyrics and smooth, atmospheric production.
-
D.
Kiss Me
"Kiss Me" is the smooth, jazz-influenced theme song best known for its use in the opening credits of the classic American sitcom *The Cosby Show*.
-
E.
Kiss Me
"Kiss Me" is a 1998 romantic pop song by Sixpence None the Richer that became widely known for its prominent use in the teen film "She's All That."
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22a76188190a73df23bfb08eb3d |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7936ce4819087f07df2c7a76282 |
completed | April 9, 2026, 12:49 a.m. |
Created at: April 6, 2026, 11:26 a.m.