Triple
T9880033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cirkut |
E180774
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Die for You |
E331479
|
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: Die for You | Statement: [Cirkut, notableWork, Die for You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Die for You Context triple: [Cirkut, notableWork, Die for You]
-
A.
Die For You
chosen
"Die For You" is a popular R&B song by Canadian singer The Weeknd, known for its emotive vocals, atmospheric production, and enduring chart success.
-
B.
I’ll Die for You
"I’ll Die for You" is a song featured on the album "Rebirth."
-
C.
I’d Die for You
"I’d Die for You" is a rock song by Bon Jovi from their hugely successful 1986 album *Slippery When Wet*.
-
D.
Day You Die
"Day You Die" is a popular hip-hop track by Nigerian rapper Naeto C, recognized for its catchy production and introspective lyrics.
-
E.
Who Would You Die For
"Who Would You Die For" is a song featured on the album "Burning Bridges" by the American rock band Bon Jovi.
- 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_69ca828082cc8190a40f8d299caa6545 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4146fe881908f9fc553dfca31e1 |
completed | April 2, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e48665e88190ab8a4a30b1df8ebe |
completed | April 5, 2026, 4:26 a.m. |
Created at: March 30, 2026, 8:38 p.m.