Triple
T23546564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angela Beyincé |
E577910
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Smash Into You (co-writing contribution) |
E240620
|
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: Smash Into You (co-writing contribution) | Statement: [Angela Beyincé, notableWork, Smash Into You (co-writing contribution)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smash Into You (co-writing contribution) Context triple: [Angela Beyincé, notableWork, Smash Into You (co-writing contribution)]
-
A.
Smash Into You
chosen
"Smash Into You" is a romantic, mid-tempo R&B ballad by Beyoncé known for its atmospheric production and emotional, vulnerable lyrics.
-
B.
With You
"With You" is a song featured on the album "Unpredictable" by American R&B singer Jamie Foxx.
-
C.
With You
"With You" is a popular R&B/pop ballad by American singer Chris Brown, released in 2007 and widely recognized as one of his signature hits.
-
D.
With You
"With You" is a studio album by American singer Stacy Lattisaw, showcasing her early 1980s R&B and pop sound.
-
E.
With You
"With You" is a song featured on the R&B album *Let Me Be Your Angel* by American singer Stacy Lattisaw.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aecb567c8190a54d2c3b63282af5 |
completed | April 29, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf64472c81908be229baf3393939 |
completed | May 19, 2026, 10:08 p.m. |
Created at: April 17, 2026, 6:11 p.m.