Triple
T1207885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain Jack Aubrey |
E25930
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object |
Patrick O'Brian
Patrick O'Brian was a British novelist best known for his Aubrey–Maturin series of historical naval novels set during the Napoleonic Wars.
|
E138174
|
NE FINISHED |
How this triple was built (4 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: Patrick O'Brian | Statement: [Captain Jack Aubrey, createdBy, Patrick O'Brian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrick O'Brian Context triple: [Captain Jack Aubrey, createdBy, Patrick O'Brian]
-
A.
C.J. Sansom
C.J. Sansom was a British historical crime novelist best known for his bestselling Shardlake series set in Tudor England.
-
B.
William Fleming
William Fleming is a relatively common personal name shared by multiple notable individuals across fields such as politics, education, and sports.
-
C.
Jack Higgins
Jack Higgins was a bestselling British thriller novelist, best known for his World War II espionage novel "The Eagle Has Landed."
-
D.
Jeffrey Archer
Jeffrey Archer is a British author and former politician best known for his bestselling novels and thrillers.
-
E.
Richard Hughes
Richard Hughes is a British economist and civil servant who serves as the head of the UK's independent fiscal watchdog, overseeing analysis of the government's public finances and economic forecasts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Patrick O'Brian Triple: [Captain Jack Aubrey, createdBy, Patrick O'Brian]
Generated description
Patrick O'Brian was a British novelist best known for his Aubrey–Maturin series of historical naval novels set during the Napoleonic Wars.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patrick O'Brian Target entity description: Patrick O'Brian was a British novelist best known for his Aubrey–Maturin series of historical naval novels set during the Napoleonic Wars.
-
A.
C.J. Sansom
C.J. Sansom was a British historical crime novelist best known for his bestselling Shardlake series set in Tudor England.
-
B.
William Fleming
William Fleming is a relatively common personal name shared by multiple notable individuals across fields such as politics, education, and sports.
-
C.
Jack Higgins
Jack Higgins was a bestselling British thriller novelist, best known for his World War II espionage novel "The Eagle Has Landed."
-
D.
Jeffrey Archer
Jeffrey Archer is a British author and former politician best known for his bestselling novels and thrillers.
-
E.
Richard Hughes
Richard Hughes is a British economist and civil servant who serves as the head of the UK's independent fiscal watchdog, overseeing analysis of the government's public finances and economic forecasts.
- F. None of above. chosen
Provenance (5 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdc483b481908e5bfef5d2f4fc5a |
completed | March 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f419b8c8190ac7642b9b4108df8 |
completed | March 7, 2026, 7:40 p.m. |
| NEDg | Description generation | batch_69ac7fce1b788190a133ea6f92c62842 |
completed | March 7, 2026, 7:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac8074334081909ad7a045fc23ea71 |
completed | March 7, 2026, 7:45 p.m. |
Created at: March 1, 2026, 7:46 p.m.