Triple
T13794382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take My Breath |
E331478
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Dawn FM |
E331486
|
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: Dawn FM | Statement: [Take My Breath, album, Dawn FM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dawn FM Context triple: [Take My Breath, album, Dawn FM]
-
A.
Dawn FM
chosen
Dawn FM is a 2022 concept album by Canadian singer The Weeknd that blends synth-pop, R&B, and dance influences within a surreal radio-broadcast framework.
-
B.
Wasafi FM
Wasafi FM is a Tanzanian radio station associated with the Wasafi media brand founded by musician Diamond Platnumz, known for broadcasting contemporary Bongo Flava and entertainment content.
-
C.
Radio Farda
Radio Farda is a U.S.-funded Persian-language news radio service that broadcasts independent news and information to audiences in Iran.
-
D.
Radio Sawa
Radio Sawa is a U.S.-funded Arabic-language radio network that broadcasts news, music, and information to audiences across the Middle East and North Africa.
-
E.
Radio Azadi
Radio Azadi is the Afghan service of Radio Free Europe/Radio Liberty, providing independent news and information primarily to audiences in Afghanistan.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0259b0e4819081c11ced694384fb |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b083387081909c6f4beb0e12cf36 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:11 p.m.