Triple
T19546276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Coe |
E489058
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Peter Coe |
—
|
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: Peter Coe | Statement: [Peter Coe, name, Peter Coe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Coe Context triple: [Peter Coe, name, Peter Coe]
-
A.
Peter Coe
chosen
Peter Coe was a British-born American actor and occasional director known for his character roles in mid-20th-century film and television.
-
B.
Peter Coates
Peter Coates is a British businessman and football executive best known as the long-serving chairman and owner of Stoke City Football Club.
-
C.
Fred Coe
Fred Coe was an influential American television and film producer, often credited as a pioneer of live TV drama during the 1950s.
-
D.
Michael Graham Cox
Michael Graham Cox was a British actor best known for his voice and character roles in film, television, and radio, including work on animated adaptations of classic literature.
-
E.
Ian Cochrane
Ian Cochrane is a notable individual who shares the surname Cochrane, which is associated with various prominent figures across different fields.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63876bacc8190b17e2087de679785 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.