Triple
T10244401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chlöe Bailey |
E240174
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | "Pray It Away" |
E606076
|
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: "Pray It Away" | Statement: [Chlöe Bailey, notableSingle, "Pray It Away"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Pray It Away" Context triple: [Chlöe Bailey, notableSingle, "Pray It Away"]
-
A.
"Pray It Away"
chosen
"Pray It Away" is an R&B song by American singer Chloe Bailey that explores themes of heartbreak, emotional healing, and resisting revenge in the aftermath of a failed relationship.
-
B.
A Prayer
"A Prayer" is a poem by James Joyce included in his 1927 collection *Pomes Penyeach*.
-
C.
Save a Prayer
"Save a Prayer" is a 1982 synth-pop ballad by British band Duran Duran, known for its atmospheric sound, memorable chorus, and iconic music video filmed in Sri Lanka.
-
D.
I Pray for You
"I Pray for You" is a track by rapper Pusha T featured on his critically acclaimed album "It's Almost Dry."
-
E.
Pray for Me
"Pray for Me" is a song by English singer-songwriter Laura Marling from her critically acclaimed 2013 album "Once I Was an Eagle."
- 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.