Triple
T10201286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beecake |
E238886
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | You + Me |
E736276
|
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: You + Me | Statement: [Beecake, notableWork, You + Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You + Me Context triple: [Beecake, notableWork, You + Me]
-
A.
You+Me
chosen
You+Me is a folk-influenced musical duo featuring Dallas Green and Alecia Moore (P!nk), known for their stripped-down, harmony-rich acoustic songs.
-
B.
You and Me
"You and Me" is a song featured on the soundtrack of the farming simulation video game Harvest Moon.
-
C.
You and Me
"You and Me" is a Soviet drama film by acclaimed director Larisa Shepitko, exploring complex human relationships and moral choices.
-
D.
You and Me
"You and Me" is a popular romantic rock ballad by the American band Lifehouse, known for its heartfelt lyrics and widespread radio success in the mid-2000s.
-
E.
Just You 'n' Me
"Just You 'n' Me" is a 1973 soft rock ballad by the American band Chicago, written by James Pankow and known for its prominent horn arrangements and romantic lyrics.
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee40cb7481908a1bf4d5636eb8ef |
completed | April 2, 2026, 4:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317f40f0c8190a3d966c934cc20f7 |
completed | April 6, 2026, 2:18 a.m. |
Created at: March 30, 2026, 9:14 p.m.