Triple
T19672019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In a World Like This |
E472355
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | DJ White Shadow |
—
|
NE NERFINISHED |
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: DJ White Shadow | Statement: [In a World Like This, producer, DJ White Shadow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DJ White Shadow Context triple: [In a World Like This, producer, DJ White Shadow]
-
A.
DJ White Shadow
chosen
DJ White Shadow is an American DJ and music producer best known for his extensive collaboration with Lady Gaga, particularly on her album "Born This Way."
-
B.
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.
-
C.
DJ Lord
DJ Lord is an American turntablist and hip hop DJ best known as the longtime touring and performance DJ for the influential rap group Public Enemy.
-
D.
DJ Shok
DJ Shok is a hip-hop producer best known for his work with DMX, including producing the acclaimed track "Slippin'."
-
E.
DJ Shadow
DJ Shadow is an American DJ and producer renowned as a pioneer of instrumental hip hop and sample-based music, particularly for his influential debut album "Endtroducing.....".
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416cb0bc8190ab27dd28eebb50e7 |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.