Triple
T3246456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starboy |
E68076
|
entity |
| Predicate | hasPart |
P35
|
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: [Starboy, hasPart, Die For You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Die For You Context triple: [Starboy, hasPart, 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.
All for You
All for You is a 2001 dance-pop and R&B song by Janet Jackson that became one of her signature hits, known for its upbeat groove and chart-topping success.
-
C.
For You I Will
"For You I Will" is an R&B ballad by American singer Monica, best known for its appearance on the soundtrack of the 1996 film *Space Jam* and for becoming one of her signature hits.
-
D.
For You
"For You" is a song by Bruce Springsteen from his debut album "Greetings from Asbury Park, N.J.," noted for its vivid storytelling and emotional intensity.
-
E.
She’s Not for You
"She’s Not for You" is a country song by Willie Nelson featured on his 1973 album *Shotgun Willie*.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf1a96148190b63bf46209712707 |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a65d2988190a053eb2f22503f83 |
completed | March 12, 2026, 7:56 p.m. |
Created at: March 8, 2026, 3:09 p.m.