Triple
T16707706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Groves |
E406014
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Charles Groves |
—
|
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: Charles Groves | Statement: [Charles Groves, name, Charles Groves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Groves Context triple: [Charles Groves, name, Charles Groves]
-
A.
Charles Groves
chosen
Charles Groves was a distinguished British conductor renowned for his interpretations of English orchestral music and his leadership of major UK orchestras in the mid-20th century.
-
B.
Philip Oakes
Philip Oakes was a British journalist, film critic, and screenwriter active in the mid-20th century.
-
C.
John W. Aldridge
John W. Aldridge was an American literary critic and professor known for his influential analyses of mid-20th-century American fiction and culture.
-
D.
Charles Griffin
Charles Griffin was a Union Army general during the American Civil War, noted for his leadership in key late-war battles.
-
E.
Charles Greenway
Charles Greenway was a British businessman and industrialist best known for his leading role in developing the Anglo-Persian Oil Company, a precursor to BP.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38337ecac8190bc4a9410ed7681ab |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:19 a.m.