Triple
T21715951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cruel Sea |
E536028
|
entity |
| Predicate | authorOfSourceWork |
P2353
|
FINISHED |
| Object | Nicholas Monsarrat |
—
|
NE NERFINISHED |
How this triple was built (3 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: Nicholas Monsarrat | Statement: [The Cruel Sea, authorOfSourceWork, Nicholas Monsarrat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicholas Monsarrat Context triple: [The Cruel Sea, authorOfSourceWork, Nicholas Monsarrat]
-
A.
Charles Saumarez Smith
Charles Saumarez Smith is a British art historian and museum director known for leading major cultural institutions in the United Kingdom.
-
B.
John Beresford
John Beresford was an influential 18th-century Irish statesman and powerful revenue commissioner who played a major role in the administration and development of Dublin.
-
C.
Ralph Bagnold
Ralph Bagnold was a pioneering British desert explorer and engineer whose work in the Sahara laid the foundations for modern aeolian (wind-blown sand) research and influenced both geology and military navigation.
-
D.
Avery Markham
Avery Markham is a wealthy, ruthless Kentucky businessman and criminal figure who serves as a major antagonist in the TV series "Justified."
-
E.
Walter Connolly
Walter Connolly was an American character actor of the 1930s known for his comic and often blustery supporting roles in Hollywood films.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nicholas Monsarrat Target entity description: Nicholas Monsarrat was a British novelist best known for his World War II naval fiction, particularly his acclaimed novel "The Cruel Sea."
-
A.
Charles Saumarez Smith
Charles Saumarez Smith is a British art historian and museum director known for leading major cultural institutions in the United Kingdom.
-
B.
John Beresford
John Beresford was an influential 18th-century Irish statesman and powerful revenue commissioner who played a major role in the administration and development of Dublin.
-
C.
Ralph Bagnold
Ralph Bagnold was a pioneering British desert explorer and engineer whose work in the Sahara laid the foundations for modern aeolian (wind-blown sand) research and influenced both geology and military navigation.
-
D.
Avery Markham
Avery Markham is a wealthy, ruthless Kentucky businessman and criminal figure who serves as a major antagonist in the TV series "Justified."
-
E.
Walter Connolly
Walter Connolly was an American character actor of the 1930s known for his comic and often blustery supporting roles in Hollywood films.
- F. None of above. chosen
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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96ab4c88190b76f4a6b7c855039 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.