Triple

T10578330
Position Surface form Disambiguated ID Type / Status
Subject judiciary of Upper Canada E249666 entity
Predicate hasNotableMember P304 FINISHED
Object Thomas Scott (judge)
Thomas Scott was a prominent early 19th-century judge in Upper Canada who played a significant role in shaping the colony’s legal system.
 E872449 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: Thomas Scott (judge) | Statement: [judiciary of Upper Canada, hasNotableMember, Thomas Scott (judge)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thomas Scott (judge)
Context triple: [judiciary of Upper Canada, hasNotableMember, Thomas Scott (judge)]
  • A. Justice Stephen Norrish
    Justice Stephen Norrish is an Australian jurist who has served as a judge of the Supreme Court of the Australian Capital Territory.
  • B. King Justice Taylor
    King Justice Taylor is the son of American rapper and West Coast hip-hop figure The Game.
  • C. John Marshall Lang
    John Marshall Lang was a prominent 19th-century Scottish Presbyterian minister and church leader.
  • D. William Maxwell
    William Maxwell was an Irish-born American brigadier general in the Continental Army during the American Revolutionary War.
  • E. James Robertson Justice
    James Robertson Justice was a British character actor known for his booming voice and authoritative screen presence in mid-20th-century 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: Thomas Scott (judge)
Triple: [judiciary of Upper Canada, hasNotableMember, Thomas Scott (judge)]
Generated description
Thomas Scott was a prominent early 19th-century judge in Upper Canada who played a significant role in shaping the colony’s legal system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thomas Scott (judge)
Target entity description: Thomas Scott was a prominent early 19th-century judge in Upper Canada who played a significant role in shaping the colony’s legal system.
  • A. Justice Stephen Norrish
    Justice Stephen Norrish is an Australian jurist who has served as a judge of the Supreme Court of the Australian Capital Territory.
  • B. King Justice Taylor
    King Justice Taylor is the son of American rapper and West Coast hip-hop figure The Game.
  • C. John Marshall Lang
    John Marshall Lang was a prominent 19th-century Scottish Presbyterian minister and church leader.
  • D. William Maxwell
    William Maxwell was an Irish-born American brigadier general in the Continental Army during the American Revolutionary War.
  • E. James Robertson Justice
    James Robertson Justice was a British character actor known for his booming voice and authoritative screen presence in mid-20th-century films.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d52756ff1c8190a85022748ca58ba5 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b6f43f4819092557d1c6039324a completed April 10, 2026, 7:11 p.m.
NEDg Description generation batch_69d94ca07da481908f2d546f8ddc9326 completed April 10, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69d94e8687bc819082b672a64bf85500 completed April 10, 2026, 7:24 p.m.
Created at: April 6, 2026, 12:38 p.m.