Triple
T3258245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue October |
E68346
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object |
Brando Records
Brando Records is an independent music label known for working with alternative rock acts such as Blue October.
|
E423139
|
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: Brando Records | Statement: [Blue October, recordLabel, Brando Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brando Records Context triple: [Blue October, recordLabel, Brando Records]
-
A.
Capricorn Records
Capricorn Records was an influential American record label best known for pioneering and popularizing Southern rock in the 1970s.
-
B.
Maverick Records
Maverick Records is an American record label co-founded by Madonna in the early 1990s, known for signing influential pop and alternative artists.
-
C.
Fontana Records
Fontana Records is a British record label known for releasing a wide range of pop, rock, and jazz recordings, particularly during the 1960s and 1970s.
-
D.
Saint Records
Saint Records is an independent record label founded by Solange Knowles to champion experimental R&B and underrepresented artists.
-
E.
Rowdy Records
Rowdy Records is a record label known for working with R&B artists such as Monica in the 1990s.
- 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: Brando Records Triple: [Blue October, recordLabel, Brando Records]
Generated description
Brando Records is an independent music label known for working with alternative rock acts such as Blue October.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brando Records Target entity description: Brando Records is an independent music label known for working with alternative rock acts such as Blue October.
-
A.
Capricorn Records
Capricorn Records was an influential American record label best known for pioneering and popularizing Southern rock in the 1970s.
-
B.
Maverick Records
Maverick Records is an American record label co-founded by Madonna in the early 1990s, known for signing influential pop and alternative artists.
-
C.
Fontana Records
Fontana Records is a British record label known for releasing a wide range of pop, rock, and jazz recordings, particularly during the 1960s and 1970s.
-
D.
Saint Records
Saint Records is an independent record label founded by Solange Knowles to champion experimental R&B and underrepresented artists.
-
E.
Rowdy Records
Rowdy Records is a record label known for working with R&B artists such as Monica in the 1990s.
- 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_69ad858f74408190bcbd07f967cd7bd0 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf6a46448190a7fa0ca83fa096f8 |
completed | March 8, 2026, 5:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a81796fc8190b96e1feff3a73cba |
completed | March 14, 2026, 6:25 p.m. |
| NEDg | Description generation | batch_69b5a8a660bc8190bef754d74ec770b3 |
completed | March 14, 2026, 6:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5a93451388190bd40c55634c8f6f0 |
completed | March 14, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.