Triple
T11900256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World War Joy |
E283130
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Do You Mean |
E953616
|
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: Do You Mean | Statement: [World War Joy, hasTrack, Do You Mean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Do You Mean Context triple: [World War Joy, hasTrack, Do You Mean]
-
A.
Do You Mean
chosen
"Do You Mean" is a song by American EDM duo The Chainsmokers, known for its mellow electronic production and emotive, relationship-focused lyrics.
-
B.
D’You Know What I Mean?
"D’You Know What I Mean?" is a 1997 Britpop single by Oasis, known for its dense, guitar-heavy production and serving as the lead track from their album "Be Here Now."
-
C.
Mean to Me
"Mean to Me" is a popular 1929 jazz and pop standard that has been widely recorded by vocalists and instrumentalists since its debut.
-
D.
What Do You Mean?
"What Do You Mean?" is a 2015 tropical house-influenced pop single by Justin Bieber that marked his commercial and critical comeback and became one of his biggest global hits.
-
E.
Do You Know Me
"Do You Know Me" is a song by John Mayer from his 2009 studio album *Battle Studies*.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd16433881909befca9774bdaab4 |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f43ff588f08190affc45b44b9e85e3 |
completed | May 1, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:44 p.m.