Triple
T13911235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meaningless |
E334500
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Happy with You |
E225613
|
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: Happy with You | Statement: [Meaningless, hasTrack, Happy with You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Happy with You Context triple: [Meaningless, hasTrack, Happy with You]
-
A.
Happy with You
chosen
"Happy with You" is a melodic, introspective song by Paul McCartney from his 2018 studio album "Egypt Station."
-
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 track by American rapper Lil Wayne from his album "I Am Not a Human Being."
-
D.
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.
-
E.
Beautiful You
Beautiful You is a satirical novel by Chuck Palahniuk that skewers consumer culture, sexuality, and power through a darkly comic story about a revolutionary line of female pleasure products.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2723461881908376b5509ee0d530 |
completed | April 14, 2026, 11:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c72879e48190ac01d0a2023b098c |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:16 p.m.