Triple
T20589832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Beautiful Briny |
E505888
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | David Tomlinson |
—
|
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: David Tomlinson | Statement: [The Beautiful Briny, performer, David Tomlinson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Tomlinson Context triple: [The Beautiful Briny, performer, David Tomlinson]
-
A.
David Tomlinson
chosen
David Tomlinson was an English actor best known for his comedic roles in classic Disney films such as "Mary Poppins" and "Bedknobs and Broomsticks."
-
B.
Stephen St. John
Stephen St. John is a film cinematographer best known for his work on the 2003 family adventure movie "Holes."
-
C.
Michael Vidal
Michael Vidal is a local political leader who serves as the mayor of the Maltese town of Ramla.
-
D.
Warren Foster
Warren Foster was an American animation writer best known for his influential work on classic Warner Bros. cartoons, including many featuring characters like Foghorn Leghorn.
-
E.
Timothy Busfield
Timothy Busfield is an American actor and director best known for his roles in television series such as "thirtysomething," "The West Wing," and various film and stage productions.
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a979e4a48190a948165fb0f3b265 |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 16, 2026, 11:40 a.m.