Triple
T8911980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Sassoon |
E212204
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | George Sassoon |
E212204
|
NE FINISHED |
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: George Sassoon | Statement: [George Sassoon, name, George Sassoon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Sassoon Context triple: [George Sassoon, name, George Sassoon]
-
A.
George Sassoon
chosen
George Sassoon was a British linguist, engineer, and writer, known as the son and literary executor of war poet Siegfried Sassoon.
-
B.
Vyner Brooke
Vyner Brooke was the third and last White Rajah of Sarawak, ruling the kingdom until its cession to Britain after World War II.
-
C.
Herbert Ward
Herbert Ward was a British sculptor, illustrator, and writer known for his depictions of African subjects and contributions to late 19th-century illustrated literature.
-
D.
Arthur Lyttelton
Arthur Lyttelton was a 19th-century English Anglican clergyman and academic who became the first Master of Selwyn College, Cambridge.
-
E.
Andrew Hulme
Andrew Hulme is a British film editor known for his work on feature films such as the crime thriller "Lucky Number Slevin."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6525d1408190a76522d7c4ac37da |
completed | April 1, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba3c92c481909589e6a3c9469136 |
completed | April 3, 2026, 1:01 p.m. |
Created at: March 30, 2026, 6:55 p.m.