Triple
T14019000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Champagne Jam |
E337276
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Normal Love |
E710253
|
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: Normal Love | Statement: [Champagne Jam, hasTrack, Normal Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Normal Love Context triple: [Champagne Jam, hasTrack, Normal Love]
-
A.
Normal Love
chosen
"Normal Love" is an underground 1960s experimental film by Jack Smith, known for its surreal, camp aesthetic and featuring Warhol superstar Mario Montez.
-
B.
Natural Love
Natural Love is a song featured on the album "What Comes Naturally."
-
C.
Good Love
"Good Love" is a soulful hip-hop track by rapper Sheek Louch that blends smooth, sample-driven production with lyrics celebrating affection and appreciation for women.
-
D.
Lazy Love
"Lazy Love" is a song by the American R&B duo Chloe x Halle from their debut EP "Sugar Symphony."
-
E.
Easy Love
"Easy Love" is a popular electro-house track by Canadian electronic duo MSTRKRFT, known for its gritty synths, driving beat, and club-friendly energy.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3b5b088190a58715779d2c46a6 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32d77108190b038e8a750738439 |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.