Triple
T6029929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Anderson, 1st Viscount Waverley |
E134274
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of John Anderson, 1st Viscount Waverley, a prominent British civil servant and politician.
|
E167806
|
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 Anderson, 1st Viscount Waverley, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John Anderson, 1st Viscount Waverley, givenName, John]
-
A.
John
John is the given name of John Arbuthnot Fisher, a prominent British admiral and naval reformer of the late 19th and early 20th centuries.
-
B.
John
John is the given name of the American composer John Luther Adams, known for his works inspired by nature and environmental themes.
-
C.
John
John is the given name of John Adams, the prominent American minimalist and post-minimalist composer known for works like "Nixon in China" and "Short Ride in a Fast Machine."
-
D.
John
John is the given name of John Boyd-Carpenter, a prominent British Conservative politician who served in several senior government positions in the mid-20th century.
-
E.
John
John is the given name of actor John Cho, a Korean American performer known for roles in the "Harold & Kumar" films and the "Star Trek" reboot series.
- 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 Anderson, 1st Viscount Waverley, givenName, John]
Generated description
John is the given name of John Anderson, 1st Viscount Waverley, a prominent British civil servant and politician.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of John Anderson, 1st Viscount Waverley, a prominent British civil servant and politician.
-
A.
John
chosen
John is the given name of Sir John Anderson, a British civil servant and politician who played a key role in government during the early 20th century.
-
B.
John
John is the given name of John Russell, 1st Earl Russell, a prominent 19th-century British statesman and Prime Minister.
-
C.
John
John is the given name of Lord Palmerston, the 19th-century British statesman who served twice as Prime Minister of the United Kingdom.
-
D.
John
John is the given name of John Arbuthnot Fisher, a prominent British admiral and naval reformer of the late 19th and early 20th centuries.
-
E.
John
John is the given name of Sir John Trevor, a historical British political figure.
- F. None of above.
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_69c0087515148190a97475d412563865 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0561121708190a904e52aa3484988 |
completed | March 22, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11cefa21081909defda4da9278116 |
completed | March 23, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69c11d91ddec819088e0c3988a4ba5b4 |
completed | March 23, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11e2da4408190a0b32a2712cb77df |
completed | March 23, 2026, 11:04 a.m. |
Created at: March 22, 2026, 4:08 p.m.