Triple
T20410449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Save Me, San Francisco |
E500573
|
entity |
| Predicate | containsSong |
P20452
|
FINISHED |
| Object | You Already Know |
—
|
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: You Already Know | Statement: [Save Me, San Francisco, containsSong, You Already Know]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You Already Know Context triple: [Save Me, San Francisco, containsSong, You Already Know]
-
A.
You Already Know
chosen
"You Already Know" is a hip hop and R&B single by Fergie featuring Nicki Minaj, released in 2016 as part of Fergie’s second solo album.
-
B.
You Already Know
"You Already Know" is a song by Arcade Fire from their acclaimed 2013 album *Reflektor*.
-
C.
Know You Know
"Know You Know" is a track by British singer-songwriter Lil Peep from his posthumous compilation album "Everybody's Everything."
-
D.
Everything You Know
"Everything You Know" is a song featured on the album *Arm in Arm*.
-
E.
You Know
"You Know" is a song by English singer-songwriter Laura Marling from her 2013 album *Once I Was an Eagle*, noted for its intimate folk style and introspective lyrics.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3ecb348190ae777f6276037828 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.