Triple
T20925245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Over and Over |
E515324
|
entity |
| Predicate | precedes |
P97
|
FINISHED |
| Object | Love to Burn |
—
|
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: Love to Burn | Statement: [Over and Over, precedes, Love to Burn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love to Burn Context triple: [Over and Over, precedes, Love to Burn]
-
A.
Love to Burn
chosen
"Love to Burn" is a lengthy, guitar-driven rock song by Neil Young & Crazy Horse, featured on their 1990 album *Ragged Glory* and known for its extended jams and raw, distorted sound.
-
B.
Let It Burn
"Let It Burn" is a soulful R&B song by American singer Jazmine Sullivan, known for its emotive vocals and interpolation of After 7’s classic "Ready or Not."
-
C.
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.
-
D.
Love That Burns
"Love That Burns" is a blues track originally by Fleetwood Mac, later covered by Gary Moore on his tribute album to Peter Green.
-
E.
Let Her Burn
Let Her Burn is a 2023 electropop EP by American singer Rebecca Black that marks her critically acclaimed reinvention with darker, more experimental pop sounds.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f651278481909e7194f892703828 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 12:49 p.m.