Triple
T23255751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernest George |
E581864
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ernest George |
—
|
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: Ernest George | Statement: [Ernest George, name, Ernest George]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ernest George Context triple: [Ernest George, name, Ernest George]
-
A.
Ernest George
chosen
Ernest George was a prominent late 19th- and early 20th-century English architect known for his influential domestic and public building designs and for mentoring a generation of notable architects.
-
B.
Ernest Irving
Ernest Irving was a British film composer and musical director known for his work on numerous Ealing Studios productions in the mid-20th century.
-
C.
George Ernest
George Ernest was an American child actor active in the 1930s and 1940s, known for his roles in family and adventure films.
-
D.
Sir Ernest George
Sir Ernest George was a prominent late 19th- and early 20th-century British architect known for his influential domestic and public buildings and for mentoring notable architects such as Edwin Lutyens.
-
E.
Ernest Walter
Ernest Walter was a film editor best known for his work on classic mid-20th-century British and American movies.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c4905c819099ca21c6529413ac |
completed | April 29, 2026, 5:19 a.m. |
Created at: April 17, 2026, 4:11 p.m.