Triple
T10431659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sorry (Lemonade song) |
E245927
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Sorry |
E853596
|
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: Sorry | Statement: [Sorry (Lemonade song), hasTitle, Sorry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sorry Context triple: [Sorry (Lemonade song), hasTitle, Sorry]
-
A.
Sorry
"Sorry" is a track from the 2014 album "VII," likely representing one of its notable songs.
-
B.
Sorry
"Sorry" is a song featured on the 2018 concept album *Homecoming*, which showcases a blend of introspective lyrics and contemporary production.
-
C.
Sorry
"Sorry" is a song by the American rock band Lemonade, known for its blend of indie rock and electronic pop elements.
-
D.
Sorry
chosen
"Sorry" is a hit R&B/pop song by Beyoncé, known for its catchy hook and themes of infidelity and empowerment, from her critically acclaimed visual album *Lemonade*.
-
E.
Sorry
"Sorry" is a 2015 dance-pop song by Canadian singer Justin Bieber that became a global hit and one of his signature tracks.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea63f03c81908331655241102725 |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87eb068bc8190be9c7c916850278e |
completed | April 10, 2026, 4:38 a.m. |
Created at: April 6, 2026, 12:13 p.m.