Triple
T5400761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Know Your Enemy |
E120767
|
entity |
| Predicate | precedesInDiscography |
P25308
|
FINISHED |
| Object | 21 Guns |
E120775
|
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: 21 Guns | Statement: [Know Your Enemy, precedesInDiscography, 21 Guns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 21 Guns Context triple: [Know Your Enemy, precedesInDiscography, 21 Guns]
-
A.
21 Guns
chosen
"21 Guns" is a 2009 power ballad by American punk rock band Green Day, known as one of the major singles from their rock opera era.
-
B.
Stickin’ to My Guns
"Stickin’ to My Guns" is a 1990 studio album by legendary American singer Etta James that blends her powerful blues and soul vocals with contemporary R&B and pop production.
-
C.
Throw Your Guns
"Throw Your Guns" is a song by the hip hop duo The Firm, featured on their collaborative album "The Firm: The Album."
-
D.
Gym Class Heroes
Gym Class Heroes is an American alternative hip hop band known for blending rap, rock, and pop, and for hits like "Cupid's Chokehold" and "Stereo Hearts."
-
E.
On Fire
On Fire is a nonfiction book by Naomi Klein that explores the climate crisis and advocates for transformative, justice-centered solutions such as a Green New Deal.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8770809c8190bb387ef04ffa794c |
completed | March 20, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3383b360819087447e6813c45edf |
completed | March 22, 2026, 12:10 a.m. |
Created at: March 20, 2026, 2:04 p.m.