Triple
T16677480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Under Your Skin |
E405249
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Burn It Down |
E557137
|
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: Burn It Down | Statement: [Under Your Skin, hasPart, Burn It Down]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burn It Down Context triple: [Under Your Skin, hasPart, Burn It Down]
-
A.
Burn It Down
chosen
"Burn It Down" is a high-energy electronic rock single by American band Linkin Park, known for its synth-driven sound and themes of destruction and renewal.
-
B.
Burn One Down
"Burn One Down" is a popular rootsy, acoustic pro-cannabis anthem by American singer-songwriter Ben Harper, often celebrated as one of his signature songs.
-
C.
Burn One Down
"Burn One Down" is a song best known as a notable single from the country music artist Clint Black.
-
D.
Burn It
Burn It is a British television drama series set in Manchester that follows the lives and relationships of a group of friends navigating adulthood.
-
E.
Keep It Burning
"Keep It Burning" is a song by Kanye West from his album *Donda 2*, known for its dark, atmospheric production and introspective lyrics.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6c805c81909fbe4fcb20eedbe1 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3c79888190b6ddd55b91d97183 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.