Triple
T17460659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heaven or Hell |
E425141
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | After Party |
—
|
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: After Party | Statement: [Heaven or Hell, hasTrack, After Party]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: After Party Context triple: [Heaven or Hell, hasTrack, After Party]
-
A.
After Party
chosen
"After Party" is a popular trap-influenced hip-hop song by American rapper Don Toliver, known for its catchy hook and heavy presence on social media and streaming platforms.
-
B.
The Party & The After Party
"The Party & The After Party" is a moody, atmospheric R&B track by The Weeknd that blends dark, sensual themes with hazy production and shifting song sections.
-
C.
Last Party
"Last Party" is a song by British singer-songwriter Mika from his album "No Place in Heaven."
-
D.
What Happens at the Party
"What Happens at the Party" is a dance-pop/party track by LMFAO from their debut album "Party Rock," known for its energetic beats and party-themed lyrics.
-
E.
The Last Party
The Last Party is a memoir by Adele Morales recounting her tumultuous marriage to writer Norman Mailer and the bohemian New York literary scene of the mid-20th century.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a3031c8190ab1dd0d41b002dd2 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.