Triple
T22390141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Back Home |
E553490
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | It’s You |
—
|
NE NERFINISHED |
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: It’s You | Statement: [Back Home, hasTrack, It’s You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: It’s You Context triple: [Back Home, hasTrack, It’s You]
-
A.
It’s You
chosen
"It’s You" is a song by the American indie rock band Uh Huh Her.
-
B.
It's You
"It's You" is a studio album by American progressive rock and jam band Umphrey's McGee, known for its intricate musicianship and genre-blending compositions.
-
C.
You Are You
"You Are You" is a song from the 1965 Broadway musical Flora the Red Menace, which marked Liza Minnelli’s Tony-winning debut.
-
D.
Into You
"Into You" is a 2003 hip hop and R&B single by Fabolous featuring Tamia (or Ashanti in an alternate version), best known for its smooth, romantic vibe and chart success.
-
E.
Into You
"Into You" is a 2016 dance-pop and EDM-influenced single by Ariana Grande, known for its sultry vocals, infectious chorus, and status as a fan-favorite highlight of her album "Dangerous Woman."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15859853c8190b849cb34a94106da |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.