Triple
T16555360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mad Flava |
E402184
|
entity |
| Predicate | hasArtistRealName |
P9233
|
FINISHED |
| Object | Norman Cook |
E14837
|
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: Norman Cook | Statement: [Mad Flava, hasArtistRealName, Norman Cook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Cook Context triple: [Mad Flava, hasArtistRealName, Norman Cook]
-
A.
Norman Cook
chosen
Norman Cook, better known by his stage name Fatboy Slim, is an English DJ, musician, and record producer renowned for pioneering big beat electronic music in the 1990s.
-
B.
Sam Cookson
Sam Cookson is a relatively obscure individual whose primary distinguishing feature is sharing the Cookson surname, with no widely recognized public achievements or roles documented.
-
C.
John Madin
John Madin was a British modernist architect best known for his influential post-war designs in Birmingham, England.
-
D.
Tony Hatch
Tony Hatch is an English composer, songwriter, and producer best known for creating memorable television theme tunes and pop hits from the 1960s onward.
-
E.
Phil Baker
Phil Baker was an American comedian and radio personality who appeared in films and was known for his vaudeville and radio work in the early to mid-20th century.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc887e881909607653df7fe71be |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b33bc7081908170fbcde9a65fd6 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 5:15 a.m.