Triple
T22843791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brainfeeder |
E566158
|
entity |
| Predicate | notableArtist |
P601
|
FINISHED |
| Object |
Mono/Poly
Mono/Poly is an experimental electronic music producer and DJ known for his genre-blending, psychedelic beats and releases on Flying Lotus’s Brainfeeder label.
|
E1557052
|
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: Mono/Poly | Statement: [Brainfeeder, notableArtist, Mono/Poly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mono/Poly Context triple: [Brainfeeder, notableArtist, Mono/Poly]
-
A.
Mono
Mono is an open-source, cross-platform implementation of Microsoft's .NET framework that enables running .NET applications on multiple operating systems.
-
B.
Mono
Mono is a Native American language of the Numic branch of the Uto-Aztecan language family, traditionally spoken in parts of California.
-
C.
Mono
"Mono" is a studio album by the American country music band The Mavericks, showcasing their signature blend of country, rock, and Latin influences.
-
D.
Mono
Mono is a Japanese post-rock band known for its expansive, cinematic instrumentals and emotionally intense live performances.
-
E.
Mono
Mono is a single-channel audio format commonly used in early film and television soundtracks before stereo became standard.
- 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: Mono/Poly Triple: [Brainfeeder, notableArtist, Mono/Poly]
Generated description
Mono/Poly is an experimental electronic music producer and DJ known for his genre-blending, psychedelic beats and releases on Flying Lotus’s Brainfeeder label.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mono/Poly Target entity description: Mono/Poly is an experimental electronic music producer and DJ known for his genre-blending, psychedelic beats and releases on Flying Lotus’s Brainfeeder label.
-
A.
Mono
Mono is a Native American language of the Numic branch of the Uto-Aztecan language family, traditionally spoken in parts of California.
-
B.
Mono
"Mono" is a studio album by the American country music band The Mavericks, showcasing their signature blend of country, rock, and Latin influences.
-
C.
Mono
Mono is an open-source, cross-platform implementation of Microsoft's .NET framework that enables running .NET applications on multiple operating systems.
-
D.
Mono
Mono is a Japanese post-rock band known for its expansive, cinematic instrumentals and emotionally intense live performances.
-
E.
Mono
Mono is a single-channel audio format commonly used in early film and television soundtracks before stereo became standard.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e8726d4819095b4d999b4172ff7 |
completed | April 29, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ba7b750a08190904c11a33ea19cce |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba84676f8819099e4ad46797387d9 |
completed | May 19, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba8fa53a88190a0029d884308ffd6 |
completed | May 19, 2026, 12:04 a.m. |
Created at: April 17, 2026, 3:36 p.m.