Triple
T12003658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss You |
E285726
|
entity |
| Predicate | hasMusicVideo |
P3287
|
FINISHED |
| Object | Miss You (music video) |
E612311
|
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: Miss You (music video) | Statement: [Miss You, hasMusicVideo, Miss You (music video)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miss You (music video) Context triple: [Miss You, hasMusicVideo, Miss You (music video)]
-
A.
Miss You
"Miss You" is a 1978 disco-influenced rock song by The Rolling Stones that became one of their biggest hits and a defining track of their late-1970s sound.
-
B.
Miss You
"Miss You" is an R&B song written by Johntá Austin, recognized for its emotive lyrics and smooth, contemporary soul style.
-
C.
Miss You
"Miss You" is a blues track featured on the album *Matriarch of the Blues* by Etta James.
-
D.
Miss You (Aaliyah song)
chosen
"Miss You" is a posthumously released R&B ballad by Aaliyah, known for its heartfelt lyrics and emotional tribute-like music video featuring numerous artists honoring her legacy.
-
E.
Miss You Tonite
"Miss You Tonite" is a song recorded by Kim Carnes, best known as the B-side to her hit single "Bette Davis Eyes."
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c481a48190b311d6809808ef1b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48af245148190bed9d50dfd49193f |
completed | May 1, 2026, 11:13 a.m. |
Created at: April 8, 2026, 9:46 p.m.