Triple
T13954788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abel M. Tesfaye |
E335625
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Save Your Tears |
E331477
|
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: Save Your Tears | Statement: [Abel M. Tesfaye, notableSong, Save Your Tears]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Save Your Tears Context triple: [Abel M. Tesfaye, notableSong, Save Your Tears]
-
A.
Save Your Tears
chosen
"Save Your Tears" is a synth-pop song by Canadian singer The Weeknd, best known as one of the hit singles from his album "After Hours" and for its successful remix featuring Ariana Grande.
-
B.
Hold Back the Tears
"Hold Back the Tears" is a song featured on the album *Dream Street* by American singer Janet Jackson.
-
C.
Talk Thru the Tears
"Talk Thru the Tears" is a song featured on the album "Blue with Lou," showcasing a blend of rock and introspective lyricism.
-
D.
So Many Tears
"So Many Tears" is a reflective and emotionally charged song by Tupac Shakur that explores themes of pain, loss, and inner turmoil.
-
E.
No Tears Left to Cry
"No Tears Left to Cry" is a 2018 pop single by Ariana Grande that marked her return to music with an uplifting, resilient message following the Manchester Arena bombing.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e78a4a481908e438745631a43c0 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac8c06ec8190a6dfceab55da5b30 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:17 p.m.