Triple
T3246428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starboy |
E68076
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Diplo |
E240624
|
NE FINISHED |
How this triple was built (2 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: Diplo | Statement: [Starboy, producer, Diplo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diplo Context triple: [Starboy, producer, Diplo]
-
A.
Diplo
chosen
Diplo is an American DJ, record producer, and songwriter known for his influential work in electronic dance music and collaborations across pop, hip-hop, and global genres.
-
B.
Lil Jon
Lil Jon is an American rapper, producer, and DJ known for popularizing crunk music and his energetic, shouted catchphrases.
-
C.
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.
-
D.
Akon
Akon is a Senegalese-American singer, songwriter, and producer known for his distinctive R&B and hip-hop hits and numerous high-profile collaborations in the 2000s.
-
E.
Flo Rida
Flo Rida is an American rapper and singer known for his catchy, club-oriented hip hop and pop hits such as "Low" and "Right Round."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf1a96148190b63bf46209712707 |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2775f76988190bfaaaabce63f6f6b |
completed | March 12, 2026, 8:20 a.m. |
Created at: March 8, 2026, 3:09 p.m.