Triple
T21330012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Davies |
E525872
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Karl Davies |
—
|
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: Karl Davies | Statement: [Karl Davies, name, Karl Davies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karl Davies Context triple: [Karl Davies, name, Karl Davies]
-
A.
Karl Davies
chosen
Karl Davies is a British actor best known for his television roles in series such as Emmerdale and Kingdom.
-
B.
Phil Davies
Phil Davies is a British television producer best known for his work on the popular animated children's series "Peppa Pig."
-
C.
Jack Davies
Jack Davies was a British screenwriter and script editor known for his work on numerous mid-20th-century films and television productions.
-
D.
Michael Davies
Michael Davies is the son of American actress Erika Slezak, best known for her long-running role on the soap opera "One Life to Live."
-
E.
Michael Davies
Michael Davies is a British-born television producer best known for creating and producing popular talk and game shows, including work on "Watch What Happens Live with Andy Cohen" and "Who Wants to Be a Millionaire."
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab5076f48190a9c89c7de4741779 |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 16, 2026, 4:42 p.m.