Triple
T15715278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Hesseman |
E380943
|
entity |
| Predicate | characterRole |
P268
|
FINISHED |
| Object | Dr. Johnny Fever |
E834244
|
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: Dr. Johnny Fever | Statement: [Howard Hesseman, characterRole, Dr. Johnny Fever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dr. Johnny Fever Context triple: [Howard Hesseman, characterRole, Dr. Johnny Fever]
-
A.
Dr. Johnny Fever
chosen
Dr. Johnny Fever is a fictional, hard-rocking, irreverent radio disc jockey best known as a central character on the sitcom WKRP in Cincinnati and its sequel.
-
B.
Dr. Rock
Dr. Rock is a character in the film "Salvador," serving as a companion and foil to journalist Richard Boyle amid the chaos of the Salvadoran civil war.
-
C.
Johnny Drille
Johnny Drille is a Nigerian singer-songwriter and producer known for his soulful, folk-inspired sound and emotive storytelling.
-
D.
Dizzy Reed
Dizzy Reed is an American musician best known as the longtime keyboardist for the rock band Guns N' Roses.
-
E.
Johnny Was
"Johnny Was" is a socially conscious reggae song by Bob Marley and the Wailers, known for its poignant storytelling about violence and loss.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f90aea0819082a9e9fe0f7780b0 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7581302c8190918266f04bcf2231 |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:45 a.m.