Triple
T17546227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Bloody Valentine |
E427329
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object |
Lazy Records
Lazy Records was an independent British record label known for releasing influential alternative and shoegaze music, including early work by My Bloody Valentine.
|
E1275490
|
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: Lazy Records | Statement: [My Bloody Valentine, recordLabel, Lazy Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lazy Records Context triple: [My Bloody Valentine, recordLabel, Lazy Records]
-
A.
Loaded Records
Loaded Records is a British independent record label known for releasing influential house and dance music in the 1990s.
-
B.
Leaving Records
Leaving Records is an independent Los Angeles-based record label known for its experimental, beat-driven, and genre-blurring releases, particularly within the underground hip-hop and electronic scenes.
-
C.
Load Records
Load Records is an independent record label known for releasing experimental and noise rock music.
-
D.
DB Records
DB Records is a Nigerian music label founded by and associated with Afrobeats star D'banj.
-
E.
Meteor Records
Meteor Records was a mid-20th-century American record label known for releasing early rhythm and blues and rockabilly recordings.
- 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: Lazy Records Triple: [My Bloody Valentine, recordLabel, Lazy Records]
Generated description
Lazy Records was an independent British record label known for releasing influential alternative and shoegaze music, including early work by My Bloody Valentine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lazy Records Target entity description: Lazy Records was an independent British record label known for releasing influential alternative and shoegaze music, including early work by My Bloody Valentine.
-
A.
Loaded Records
Loaded Records is a British independent record label known for releasing influential house and dance music in the 1990s.
-
B.
Leaving Records
Leaving Records is an independent Los Angeles-based record label known for its experimental, beat-driven, and genre-blurring releases, particularly within the underground hip-hop and electronic scenes.
-
C.
Load Records
Load Records is an independent record label known for releasing experimental and noise rock music.
-
D.
DB Records
DB Records is a Nigerian music label founded by and associated with Afrobeats star D'banj.
-
E.
Meteor Records
Meteor Records was a mid-20th-century American record label known for releasing early rhythm and blues and rockabilly recordings.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45461643881909b106bafb89253b3 |
completed | April 19, 2026, 4:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01d28d08ac8190aa60b1389892aeae |
completed | May 11, 2026, 12:58 p.m. |
| NEDg | Description generation | batch_6a01d3d64a208190bb21859b76bfbc1f |
completed | May 11, 2026, 1:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01d4ab1f048190b30a8f57878d522e |
completed | May 11, 2026, 1:07 p.m. |
Created at: April 10, 2026, 5:49 a.m.