Triple
T15822367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beauty Marks |
E383642
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Level Up |
E1178638
|
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: Level Up | Statement: [Beauty Marks, hasSingle, Level Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Level Up Context triple: [Beauty Marks, hasSingle, Level Up]
-
A.
Level Up
chosen
"Level Up" is a song by American singer-songwriter Ciara from her album "Beauty Marks," known for its energetic dance-pop sound and empowering, motivational lyrics.
-
B.
Power Up
Power Up is a 2020 hard rock studio album by Australian band AC/DC that serves as a high-energy tribute to their late co-founder Malcolm Young.
-
C.
One More Level
One More Level is a Polish video game development studio best known for creating the fast-paced cyberpunk action game Ghostrunner.
-
D.
The Rise
"The Rise" is a song featured on the album "Back to Scratch" by Welsh singer-songwriter Charlotte Church.
-
E.
Zero to Hero
"Zero to Hero" is an upbeat, gospel-inspired musical number from Disney's Hercules that celebrates the hero's rapid rise to fame.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a887d881908f74a1fcba390727 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa13392c48190b03cbed9df5a32a6 |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 4:49 a.m.