Triple

T12896862
Position Surface form Disambiguated ID Type / Status
Subject Harold Knox-Shaw E308516 entity
Predicate familyName P18 FINISHED
Object Knox-Shaw
Knox-Shaw is a British surname most notably associated with astronomer Harold Knox-Shaw.
E1007984 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: Knox-Shaw | Statement: [Harold Knox-Shaw, familyName, Knox-Shaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Knox-Shaw
Context triple: [Harold Knox-Shaw, familyName, Knox-Shaw]
  • A. Knox
    Knox is a surname most famously associated with Henry Knox, a key American Revolutionary War general and the first United States Secretary of War.
  • B. Ayers-Allen
    Ayers-Allen is the hyphenated surname of American actress Phylicia Rashad, used earlier in her career before she adopted her current professional name.
  • C. Shaughnessy
    Shaughnessy is an affluent residential neighbourhood in Vancouver, British Columbia, known for its large heritage homes and tree-lined streets.
  • D. Wilmot
    Wilmot is a rural township in Ontario, Canada, located within the Regional Municipality of Waterloo and known for its agricultural landscape and small communities such as Baden and New Hamburg.
  • E. Wilmot
    Wilmot is the given first name of Hudson Fysh, the Australian aviation pioneer and co-founder of Qantas.
  • 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: Knox-Shaw
Triple: [Harold Knox-Shaw, familyName, Knox-Shaw]
Generated description
Knox-Shaw is a British surname most notably associated with astronomer Harold Knox-Shaw.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Knox-Shaw
Target entity description: Knox-Shaw is a British surname most notably associated with astronomer Harold Knox-Shaw.
  • A. Knox
    Knox is a surname most famously associated with Henry Knox, a key American Revolutionary War general and the first United States Secretary of War.
  • B. Ayers-Allen
    Ayers-Allen is the hyphenated surname of American actress Phylicia Rashad, used earlier in her career before she adopted her current professional name.
  • C. Shaughnessy
    Shaughnessy is an affluent residential neighbourhood in Vancouver, British Columbia, known for its large heritage homes and tree-lined streets.
  • D. Wilmot
    Wilmot is a rural township in Ontario, Canada, located within the Regional Municipality of Waterloo and known for its agricultural landscape and small communities such as Baden and New Hamburg.
  • E. Wilmot
    Wilmot is the given first name of Hudson Fysh, the Australian aviation pioneer and co-founder of Qantas.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9717d859481908957510babac2d69 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a55f98c08190b8910b1443841fa7 completed May 3, 2026, 1:31 a.m.
NEDg Description generation batch_69f6a6179cdc8190976daa1384032445 completed May 3, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69f6a6cbec348190a96a0194b2d6be4b completed May 3, 2026, 1:37 a.m.
Created at: April 9, 2026, 5:40 p.m.