Triple
T20178775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ¡Dos! |
E492669
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | See You Tonight |
—
|
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: See You Tonight | Statement: [¡Dos!, hasTrack, See You Tonight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: See You Tonight Context triple: [¡Dos!, hasTrack, See You Tonight]
-
A.
See You Tonight
chosen
"See You Tonight" is a song by Green Day from their 2012 album ¡Dos!.
-
B.
See You
"See You" is a song by the American rock band Foo Fighters from their acclaimed 1997 album *The Colour and the Shape*.
-
C.
See You Sometime
"See You Sometime" is a song by Joni Mitchell from her 1972 album *For the Roses*, reflecting her introspective, folk-influenced songwriting style.
-
D.
See You Later
See You Later is a 1980 electronic music album by Greek composer Vangelis, noted for its darker, more experimental sound and use of vocals compared to his earlier instrumental works.
-
E.
Just for Tonight
"Just for Tonight" is a song by the British rock band Electric Light Orchestra, known for blending rock and orchestral pop elements.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668ed07c8819091bd9ffda237a91c |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.