Triple
T14825171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilfred Smallhorn |
E348551
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object |
Arthur
Arthur is the middle name of Wilfred Smallhorn, an Australian rules footballer who won the 1933 Brownlow Medal.
|
E1122672
|
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: Arthur | Statement: [Wilfred Smallhorn, middleName, Arthur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Context triple: [Wilfred Smallhorn, middleName, Arthur]
-
A.
Arthur
Arthur is the given name of the renowned American playwright Arthur Miller, known for works such as "Death of a Salesman" and "The Crucible."
-
B.
Arthur
Arthur is a central character, likely a leader or protagonist, around whom allies such as Goosefat Bill rally in a shared cause or conflict.
-
C.
Arthur
Arthur is the given name of Arthur Garfield Hays, a prominent American civil liberties lawyer associated with the early American Civil Liberties Union.
-
D.
Arthur
Arthur is the given name of Arthur Stanley, 5th Baron Stanley of Alderley, a British peer and member of the aristocratic Stanley family.
-
E.
Arthur
Arthur is the given name of Arthur J. Ornitz, an American cinematographer known for his work on several notable films in the mid-20th century.
- 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: Arthur Triple: [Wilfred Smallhorn, middleName, Arthur]
Generated description
Arthur is the middle name of Wilfred Smallhorn, an Australian rules footballer who won the 1933 Brownlow Medal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arthur Target entity description: Arthur is the middle name of Wilfred Smallhorn, an Australian rules footballer who won the 1933 Brownlow Medal.
-
A.
Arthur
Arthur is the middle name of Edward Arthur Milne, a prominent English astrophysicist and mathematician known for his work on stellar structure and cosmology.
-
B.
Arthur
Arthur is the middle name of Australian journalist and media executive Keith Murdoch, father of media mogul Rupert Murdoch.
-
C.
Arthur
Arthur is the given first name of Art Ross, a prominent early 20th-century Canadian ice hockey player, coach, and executive.
-
D.
Arthur
Arthur is the given name of Arthur Coningham, a notable British Royal Air Force commander during the World Wars.
-
E.
Arthur
Arthur is the middle name of British Conservative politician Nicholas Soames, a grandson of Winston Churchill.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded0713700819097bbb0352650984b |
completed | April 14, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389f48cc819089d860f0208dd465 |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe3a2167348190bb428c7f23ec9748 |
completed | May 8, 2026, 7:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe3aee9d248190b202c7252f290f38 |
completed | May 8, 2026, 7:35 p.m. |
Created at: April 10, 2026, 1:51 a.m.