Triple
T5068517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oh Love |
E114202
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Kill the DJ |
E114198
|
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: Kill the DJ | Statement: [Oh Love, followedBy, Kill the DJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kill the DJ Context triple: [Oh Love, followedBy, Kill the DJ]
-
A.
Kill the DJ
chosen
"Kill the DJ" is a punk rock song by Green Day from their 2012 album ¡Uno!, noted for its dance-punk style and politically tinged lyrics.
-
B.
The Last DJ
The Last DJ is a studio album by American rock band Tom Petty and the Heartbreakers that critiques the commercialization of the music industry.
-
C.
Guetta Blaster
Guetta Blaster is a studio album by French DJ and producer David Guetta that helped establish his early international reputation in electronic dance music.
-
D.
Don’t Rock the Jukebox
"Don’t Rock the Jukebox" is a hit country song and album by Alan Jackson that helped establish him as a major figure in 1990s country music.
-
E.
Hey DJ
"Hey DJ" is a song best known for being sampled in Mariah Carey's track "Honey."
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd749dd1a08190858fa739df024eb4 |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea4a027a88190a515a374e5405d8a |
completed | March 21, 2026, 2:01 p.m. |
Created at: March 20, 2026, 1:39 p.m.