Triple
T13113098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Francis Bentley |
E311023
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of John Francis Bentley, the English architect best known for designing Westminster Cathedral in London.
|
E1023482
|
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: John | Statement: [John Francis Bentley, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John Francis Bentley, givenName, John]
-
A.
John
John is the given name of John J. Pershing, the famed American general who led the American Expeditionary Forces in World War I.
-
B.
John
John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
-
C.
John
John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
-
D.
John
John Cicero was a late 15th-century Elector of Brandenburg from the House of Hohenzollern who helped consolidate the territory’s political and administrative structures within the Holy Roman Empire.
-
E.
John
John is the given name of American screenwriter John Michael Hayes, known for his work on several Alfred Hitchcock films.
- 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: John Triple: [John Francis Bentley, givenName, John]
Generated description
John is the given name of John Francis Bentley, the English architect best known for designing Westminster Cathedral in London.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of John Francis Bentley, the English architect best known for designing Westminster Cathedral in London.
-
A.
John
John is the given name of the British civil engineer John Wolfe Barry, best known for designing London's Tower Bridge.
-
B.
John
John is the given name of Sir John Soane, the renowned English neoclassical architect and collector best known for designing the Bank of England and founding Sir John Soane’s Museum in London.
-
C.
John
John is the given name of the English architect and dramatist John Vanbrugh, known for designing Blenheim Palace and Castle Howard.
-
D.
John
John is the given name of Sir John W. Simpson, a British architect known for designing prominent public buildings in the late 19th and early 20th centuries.
-
E.
John
John is the given name of John Bird Sumner, a 19th-century Archbishop of Canterbury and influential leader of the Church of England.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817f8ee8819084078b4bec5e4f18 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eadcd7048190aa740262679e5bab |
completed | May 3, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69f6ec25ab3081908bff1f384f6c6083 |
completed | May 3, 2026, 6:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ecc8f4e88190aac8ff2b24f2c78b |
completed | May 3, 2026, 6:35 a.m. |
Created at: April 9, 2026, 9:06 p.m.