Triple
T28038798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Want You Gone |
E708480
|
entity |
| Predicate | predecessorSong |
P123226
|
FINISHED |
| Object | Still Alive |
—
|
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: Still Alive | Statement: [Want You Gone, predecessorSong, Still Alive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorSong Context triple: [Want You Gone, predecessorSong, Still Alive]
-
A.
precedesSong
chosen
Indicates that one song comes before another song in a defined sequence, such as an album tracklist or playlist order.
-
B.
predecessorCapitalOfSong
Indicates that one capital city served as the capital of a political entity immediately before another capital city mentioned in the song.
-
C.
predecessor
Indicates that one entity comes before another in an ordered sequence or succession.
-
D.
predecessorGenre
Indicates that one genre directly precedes and influences the development of another genre.
-
E.
predecessorAnthem
Indicates that one anthem served as the official or recognized anthem immediately before another anthem.
- F. None of above.
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_69ef9b6cf538819094a633ffa67afec1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 27, 2026, 8:23 p.m.