Triple
T20157482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clem Burke |
E491610
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | Ringo Starr |
—
|
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: Ringo Starr | Statement: [Clem Burke, influencedBy, Ringo Starr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ringo Starr Context triple: [Clem Burke, influencedBy, Ringo Starr]
-
A.
Ringo Starr
chosen
Ringo Starr is an English musician and actor best known as the drummer of the Beatles and for his subsequent solo career.
-
B.
Ringo
Ringo is a telecommunications and calling service brand owned by the Indian technology conglomerate Directi Group.
-
C.
Ringo
Ringo is the central protagonist of "The Unvanquished," around whom the novel’s events and character dynamics revolve.
-
D.
John Peters Ringo
John Peters "Johnny" Ringo was a notorious Old West outlaw and gunfighter associated with the Cochise County Cowboys during the late 19th century in Arizona Territory.
-
E.
Richard "Ringo" Langly
Richard "Ringo" Langly is a long-haired, hacker-savvy conspiracy theorist and one of the three eccentric members of The Lone Gunmen in The X-Files universe.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e18a0c8190a2cc2b305da28047 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.