Triple
T14081470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buckcherry |
E338878
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Lit Up |
E740852
|
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: Lit Up | Statement: [Buckcherry, notableWork, Lit Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lit Up Context triple: [Buckcherry, notableWork, Lit Up]
-
A.
Lit Up
chosen
"Lit Up" is a song by the American rock band Alligator.
-
B.
Light Up
"Light Up" is a song by Canadian rapper Drake featuring Jay-Z from his debut studio album "Thank Me Later."
-
C.
Pull Up
"Pull Up" is a track by Nigerian artist Burna Boy featured on his acclaimed album "African Giant."
-
D.
Hold Up
"Hold Up" is a genre-blending, reggae-infused song by Beyoncé from her critically acclaimed 2016 visual album *Lemonade*.
-
E.
Hol’ Up
"Hol’ Up" is a track by Kendrick Lamar from his early studio album "Section.80," showcasing his sharp lyricism over a jazzy, West Coast-influenced beat.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5f759c81909bfd60ab35b0937b |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6749c3c81909833a0b6ddcae3fb |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.