Triple
T6661020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koko Taylor |
E151474
|
entity |
| Predicate | song |
P20452
|
FINISHED |
| Object | Wang Dang Doodle |
E608855
|
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: Wang Dang Doodle | Statement: [Koko Taylor, song, Wang Dang Doodle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wang Dang Doodle Context triple: [Koko Taylor, song, Wang Dang Doodle]
-
A.
Wang Dang Doodle
chosen
"Wang Dang Doodle" is a classic Chicago blues song, originally written by Willie Dixon and later popularized by powerhouse vocalist Koko Taylor, known for its raucous party theme and driving groove.
-
B.
Doo-Dah
Doo-Dah is a quirky, affectionate nickname used by locals to refer to the city of Wichita, Kansas.
-
C.
Dum Diddly
"Dum Diddly" is a pop song by the Black Eyed Peas from their 2005 album "Monkey Business."
-
D.
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."
-
E.
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.
- 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_69c687f5fac48190a09e4838d9c6b45d |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0737cb08190ad455b48fd30eec8 |
completed | March 27, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f79a08548190907ea5244026b4e1 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:02 p.m.