Triple
T12201437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doug E. Fresh |
E290718
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | La Di Da Di |
E467131
|
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: La Di Da Di | Statement: [Doug E. Fresh, notableWork, La Di Da Di]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Di Da Di Context triple: [Doug E. Fresh, notableWork, La Di Da Di]
-
A.
La Di Da Di
chosen
La Di Da Di is a seminal 1985 hip-hop track by Doug E. Fresh and Slick Rick, renowned for its beatboxing, storytelling, and lasting influence on rap music and sampling.
-
B.
Do Da Da
"Do Da Da" is a song by the English rock band The Stranglers, featured on their 1977 album "No More Heroes" and later included in the compilation "Shenanigans."
-
C.
Da Da Da
"Da Da Da" is a minimalist, synth-driven new wave song by the German band Trio, best known internationally for its catchy, repetitive hook and widespread use in advertising.
-
D.
Din Da Da
"Din Da Da" is a percussive, chant-driven electro track originally by George Kranz that has been widely sampled and covered in hip-hop and dance music.
-
E.
Doo-Dah
Doo-Dah is a quirky, affectionate nickname used by locals to refer to the city of Wichita, Kansas.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c7b97408190a11ea37cc6edf18c |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a982e308190979245ac9643465a |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:50 p.m.