Triple
T11747396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glycerine |
E279318
|
entity |
| Predicate | bSide |
P15273
|
FINISHED |
| Object |
Bubbles
"Bubbles" is a song by the English rock band Bush, known as the B-side to their hit single "Glycerine."
|
E944733
|
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: Bubbles | Statement: [Glycerine, bSide, Bubbles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bubbles Context triple: [Glycerine, bSide, Bubbles]
-
A.
Bubbles
Bubbles is a resourceful, drug-addicted police informant in the television series "The Wire," known for his street smarts, moral complexity, and poignant personal struggles.
-
B.
Bubbles
Bubbles is the famous pet chimpanzee who lived with and was closely associated with pop star Michael Jackson.
-
C.
Bubbles
Bubbles is a famous late-19th-century painting by John Everett Millais, best known for its sentimental depiction of a young boy blowing soap bubbles.
-
D.
The Bubble
The Bubble is a recording studio and music production facility co-founded by producer and engineer Frenchie Smith, known for its work with rock and alternative artists.
-
E.
The Bubble Factory
The Bubble Factory is an American film production company known for producing Hollywood movies in the 1990s and 2000s.
- 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: Bubbles Triple: [Glycerine, bSide, Bubbles]
Generated description
"Bubbles" is a song by the English rock band Bush, known as the B-side to their hit single "Glycerine."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bubbles Target entity description: "Bubbles" is a song by the English rock band Bush, known as the B-side to their hit single "Glycerine."
-
A.
Bubbles
Bubbles is a famous late-19th-century painting by John Everett Millais, best known for its sentimental depiction of a young boy blowing soap bubbles.
-
B.
Bubbles
Bubbles is a resourceful, drug-addicted police informant in the television series "The Wire," known for his street smarts, moral complexity, and poignant personal struggles.
-
C.
Bubbles
Bubbles is the famous pet chimpanzee who lived with and was closely associated with pop star Michael Jackson.
-
D.
The Bubble
The Bubble is a recording studio and music production facility co-founded by producer and engineer Frenchie Smith, known for its work with rock and alternative artists.
-
E.
The Bubble Factory
The Bubble Factory is an American film production company known for producing Hollywood movies in the 1990s and 2000s.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50763a081908597da118bd0a64e |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f019f5f29c81909d80a9e6127ec6ef |
completed | April 28, 2026, 2:22 a.m. |
| NEDg | Description generation | batch_69f0319520dc8190817c5e75ddb7d40b |
completed | April 28, 2026, 4:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f05ad36e4c8190b7239e5b33713369 |
completed | April 28, 2026, 6:59 a.m. |
Created at: April 8, 2026, 9:41 p.m.