Triple
T12351439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twice as Tall |
E294497
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
DJDS
DJDS is an American electronic music production duo known for blending house, R&B, and gospel influences and collaborating with major artists across hip-hop and pop.
|
E977287
|
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: DJDS | Statement: [Twice as Tall, producer, DJDS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DJDS Context triple: [Twice as Tall, producer, DJDS]
-
A.
.dj
.dj is the country code top-level domain (ccTLD) assigned to Djibouti on the internet.
-
B.
DJU
DJU is the ticker symbol used by financial data vendors to represent the Dow Jones Utility Average, a stock market index tracking major U.S. utility companies.
-
C.
RJD2
RJD2 is an American producer and DJ known for his eclectic, sample-based instrumental hip hop and electronic music, including the track used as the opening theme for the TV series "Mad Men."
-
D.
DJ Dahi
DJ Dahi is an American record producer and DJ known for his innovative, genre-blending work with major hip-hop and R&B artists.
-
E.
DJ Fuze
DJ Fuze is an American hip hop DJ best known for his work with the influential rap group Digital Underground during the late 1980s and early 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: DJDS Triple: [Twice as Tall, producer, DJDS]
Generated description
DJDS is an American electronic music production duo known for blending house, R&B, and gospel influences and collaborating with major artists across hip-hop and pop.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DJDS Target entity description: DJDS is an American electronic music production duo known for blending house, R&B, and gospel influences and collaborating with major artists across hip-hop and pop.
-
A.
.dj
.dj is the country code top-level domain (ccTLD) assigned to Djibouti on the internet.
-
B.
DJU
DJU is the ticker symbol used by financial data vendors to represent the Dow Jones Utility Average, a stock market index tracking major U.S. utility companies.
-
C.
RJD2
RJD2 is an American producer and DJ known for his eclectic, sample-based instrumental hip hop and electronic music, including the track used as the opening theme for the TV series "Mad Men."
-
D.
DJ Dahi
DJ Dahi is an American record producer and DJ known for his innovative, genre-blending work with major hip-hop and R&B artists.
-
E.
DJ Fuze
DJ Fuze is an American hip hop DJ best known for his work with the influential rap group Digital Underground during the late 1980s and early 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7cbff08190849cd2aec4ce3243 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ab066108190bba8eca95d3e0a81 |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c569a6c8190aecf8a4c627d8893 |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d07d3148190a45542c8d43a7077 |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:53 p.m.