Triple
T1908157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siegfried Sassoon |
E38049
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sassoon |
E38049
|
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: Sassoon | Statement: [Siegfried Sassoon, familyName, Sassoon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sassoon Context triple: [Siegfried Sassoon, familyName, Sassoon]
-
A.
Siegfried Sassoon
chosen
Siegfried Sassoon was a British poet, soldier, and memoirist best known for his fierce anti-war verse and his influential role in shaping World War I poetry.
-
B.
Wilfred Owen
Wilfred Owen was a renowned English poet best known for his poignant and powerful World War I poetry that exposed the brutal realities of trench warfare.
-
C.
Faulks
Faulks is the surname of British novelist and journalist Sebastian Faulks, best known for his historical and literary fiction.
-
D.
Rupert Brooke
Rupert Brooke was an English poet best known for his idealistic war sonnets written during the early stages of World War I.
-
E.
Halleck
Halleck is a surname most notably associated with American political and military figures, including U.S. Congressman Charles A. Halleck and Civil War general Henry Wager Halleck.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1b55edc8190bce8ac97196939a9 |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeafdad3c8190be7aeaed8bdeac43 |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:35 p.m.