Triple

T10085673
Position Surface form Disambiguated ID Type / Status
Subject Seymour H. Knox III E215213 entity
Predicate memberOf P10 FINISHED
Object Knox family
The Knox family is a prominent American family known for its influential roles in business, philanthropy, and the development of professional ice hockey in Buffalo, New York.
 E841068 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 family | Statement: [Seymour H. Knox III, memberOf, Knox family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Knox family
Context triple: [Seymour H. Knox III, memberOf, Knox family]
  • A. Knox White
    Knox White is a long-serving American politician best known for leading the revitalization and growth of downtown Greenville, South Carolina as its mayor.
  • B. Samuel Knox
    Samuel Knox was a 19th-century American Presbyterian minister, educator, and politician who served as a U.S. Representative from Missouri.
  • C. 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.
  • D. Broderick
    Broderick is the birth name of American comedian, television host, and actor Steve Harvey.
  • E. John Q. Knox
    John Q. Knox is an American atmospheric scientist and educator known for his work in meteorology and weather analysis.
  • 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 family
Triple: [Seymour H. Knox III, memberOf, Knox family]
Generated description
The Knox family is a prominent American family known for its influential roles in business, philanthropy, and the development of professional ice hockey in Buffalo, New York.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Knox family
Target entity description: The Knox family is a prominent American family known for its influential roles in business, philanthropy, and the development of professional ice hockey in Buffalo, New York.
  • A. Knox White
    Knox White is a long-serving American politician best known for leading the revitalization and growth of downtown Greenville, South Carolina as its mayor.
  • B. Samuel Knox
    Samuel Knox was a 19th-century American Presbyterian minister, educator, and politician who served as a U.S. Representative from Missouri.
  • C. 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.
  • D. Broderick
    Broderick is the birth name of American comedian, television host, and actor Steve Harvey.
  • E. John Q. Knox
    John Q. Knox is an American atmospheric scientist and educator known for his work in meteorology and weather analysis.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd04609748190987a9364a387fa61 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b68188c48190ac783cdfc072c502 completed April 5, 2026, 7:22 p.m.
NEDg Description generation batch_69d2b7aecdb081909f651c1bc1bcfd75 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b86bf8948190a79046efadc4adea completed April 5, 2026, 7:30 p.m.
Created at: March 30, 2026, 9 p.m.