Triple
T16671926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E-Pro |
E405123
|
entity |
| Predicate | hasBside |
P15273
|
FINISHED |
| Object |
Bad Cartridge
"Bad Cartridge" is a chiptune/electronic track by the artist E-Pro, known for its retro video game-inspired sound.
|
E1226893
|
NE FINISHED |
How this triple was built (4 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: Bad Cartridge | Statement: [E-Pro, hasBside, Bad Cartridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Cartridge Context triple: [E-Pro, hasBside, Bad Cartridge]
-
A.
Bad Card
"Bad Card" is a song featured on the album "Uprising" by Bob Marley and the Wailers.
-
B.
Damaged Goods
Damaged Goods is an independent British record label known for releasing punk, garage, and alternative music.
-
C.
Ersatz
Ersatz is a pioneering 1961 Croatian animated short film by Zagreb Film, renowned for its minimalist style and for being the first animated film to win an Academy Award produced outside the United States.
-
D.
Stains
Stains is a suburban commune in the northern outskirts of Paris, France, known for its residential neighborhoods and diverse population.
-
E.
Waste of Paint
"Waste of Paint" is a song by the indie rock band Bright Eyes, featured on their 2002 album *Lifted or The Story Is in the Soil, Keep Your Ear to the Ground*.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bad Cartridge Triple: [E-Pro, hasBside, Bad Cartridge]
Generated description
"Bad Cartridge" is a chiptune/electronic track by the artist E-Pro, known for its retro video game-inspired sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bad Cartridge Target entity description: "Bad Cartridge" is a chiptune/electronic track by the artist E-Pro, known for its retro video game-inspired sound.
-
A.
Bad Card
"Bad Card" is a song featured on the album "Uprising" by Bob Marley and the Wailers.
-
B.
Damaged Goods
Damaged Goods is an independent British record label known for releasing punk, garage, and alternative music.
-
C.
Ersatz
Ersatz is a pioneering 1961 Croatian animated short film by Zagreb Film, renowned for its minimalist style and for being the first animated film to win an Academy Award produced outside the United States.
-
D.
Stains
Stains is a suburban commune in the northern outskirts of Paris, France, known for its residential neighborhoods and diverse population.
-
E.
Waste of Paint
"Waste of Paint" is a song by the indie rock band Bright Eyes, featured on their 2002 album *Lifted or The Story Is in the Soil, Keep Your Ear to the Ground*.
- F. None of above. chosen
Provenance (5 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca175088190a0435422e13278c2 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3916508190bd5edd91310ddb5a |
completed | May 10, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a008b001c988190b0ddec3be0ed6fd0 |
completed | May 10, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008b9a8b6481909df37edcecdd292c |
completed | May 10, 2026, 1:43 p.m. |
Created at: April 10, 2026, 5:18 a.m.