Triple
T9427880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Post |
E227300
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | I Miss You |
E240629
|
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: I Miss You | Statement: [Post, hasTrack, I Miss You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Miss You Context triple: [Post, hasTrack, I Miss You]
-
A.
I Miss You
chosen
"I Miss You" is a song, most famously known as a 2004 single by Blink-182 that blends emo and acoustic elements to express themes of longing and heartbreak.
-
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 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.
-
D.
Make You Miss Me
"Make You Miss Me" is a country-pop song by American singer-songwriter Sam Hunt, known for its blend of conversational lyrics, emotional vulnerability, and modern production.
-
E.
Missing You
"Missing You" is a song by American punk rock band Green Day from their 2012 album ¡Tré!.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c91ba1c8190b8331fb1ba58cc61 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d11034369c81908992e268e66d7833 |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:49 p.m.