Triple
T23188986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T.C.B. Band |
E579677
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Ronnie Tutt |
—
|
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: Ronnie Tutt | Statement: [T.C.B. Band, hasMember, Ronnie Tutt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronnie Tutt Context triple: [T.C.B. Band, hasMember, Ronnie Tutt]
-
A.
Ronnie Tutt
chosen
Ronnie Tutt was an American drummer best known for his work with Elvis Presley’s TCB Band and as a prolific session and touring musician.
-
B.
Ronnie Kenvil
Ronnie Kenvil is a fictional character from the 1942 British comedy film "A Yank at Eton."
-
C.
Ronnie Haxon
Ronnie Haxon is a character from the television series "Hung," which follows a struggling high school coach who turns to an unconventional side job to make ends meet.
-
D.
Ronnie Taylor
Ronnie Taylor was a British cinematographer known for his work on notable films including the anti-apartheid drama "Cry Freedom."
-
E.
Ronnie Bingham
Ronnie Bingham is a character in Stephen King and Owen King’s novel "Sleeping Beauties," involved in the story’s exploration of gender dynamics and the mysterious global sleeping plague affecting women.
- 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd592248190a7e705c554885cd1 |
completed | April 29, 2026, 4:57 a.m. |
Created at: April 17, 2026, 4:05 p.m.