Triple
T2323509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spirit |
E48233
|
entity |
| Predicate | label |
P38
|
FINISHED |
| Object |
Justice Records
Justice Records is an independent music label known for releasing a diverse range of recordings across genres such as jazz, blues, and world music.
|
E256784
|
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: Justice Records | Statement: [Spirit, label, Justice Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justice Records Context triple: [Spirit, label, Justice Records]
-
A.
Modern Records
Modern Records was an American independent record label known for its influential rhythm and blues and early rock and roll releases in the mid-20th century.
-
B.
K Records
K Records is an independent record label based in Olympia, Washington, known for its influential role in the DIY, indie rock, and lo-fi music scenes.
-
C.
Downtown Records
Downtown Records is an independent American record label known for working with influential hip-hop and alternative artists.
-
D.
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.
-
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: Justice Records Triple: [Spirit, label, Justice Records]
Generated description
Justice Records is an independent music label known for releasing a diverse range of recordings across genres such as jazz, blues, and world music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Justice Records Target entity description: Justice Records is an independent music label known for releasing a diverse range of recordings across genres such as jazz, blues, and world music.
-
A.
Modern Records
Modern Records was an American independent record label known for its influential rhythm and blues and early rock and roll releases in the mid-20th century.
-
B.
K Records
K Records is an independent record label based in Olympia, Washington, known for its influential role in the DIY, indie rock, and lo-fi music scenes.
-
C.
Downtown Records
Downtown Records is an independent American record label known for working with influential hip-hop and alternative artists.
-
D.
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.
-
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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc6488de481909f018700fa1f9fc7 |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae896b357c8190a6cdf99d5292037e |
completed | March 9, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69ae8e8263a08190a0950dbb1336df70 |
completed | March 9, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8f9fe79c819080062587aed27379 |
completed | March 9, 2026, 9:15 a.m. |
Created at: March 4, 2026, 7:49 p.m.