Triple

T6164857
Position Surface form Disambiguated ID Type / Status
Subject Fry E137530 entity
Predicate hasNotableBearer P458 FINISHED
Object James Fry
James Fry is a relatively common personal name that may refer to multiple individuals across different professions and contexts.
E586957 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: James Fry | Statement: [Fry, hasNotableBearer, James Fry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Fry
Context triple: [Fry, hasNotableBearer, James Fry]
  • A. George Fry
    George Fry is a notable individual who shares the surname Fry and has achieved sufficient recognition to be specifically identified among its bearers.
  • B. William Fry
    William Fry is a prominent Irish corporate law firm known for its work in banking, finance, and commercial transactions.
  • C. George W. Frye
    George W. Frye is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Frye.
  • D. Charles Irwin Fry
    Charles Irwin Fry was a British military officer who commanded forces during the First World War, notably at the 1914 Battle of Qurna in Mesopotamia.
  • E. William J. Fry
    William J. Fry was an architect known for his work on prominent U.S. government buildings in Washington, D.C., including contributions to the Old State, War, and Navy Building.
  • 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: James Fry
Triple: [Fry, hasNotableBearer, James Fry]
Generated description
James Fry is a relatively common personal name that may refer to multiple individuals across different professions and contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: James Fry
Target entity description: James Fry is a relatively common personal name that may refer to multiple individuals across different professions and contexts.
  • A. George Fry
    George Fry is a notable individual who shares the surname Fry and has achieved sufficient recognition to be specifically identified among its bearers.
  • B. William Fry
    William Fry is a prominent Irish corporate law firm known for its work in banking, finance, and commercial transactions.
  • C. George W. Frye
    George W. Frye is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Frye.
  • D. Charles Irwin Fry
    Charles Irwin Fry was a British military officer who commanded forces during the First World War, notably at the 1914 Battle of Qurna in Mesopotamia.
  • E. William J. Fry
    William J. Fry was an architect known for his work on prominent U.S. government buildings in Washington, D.C., including contributions to the Old State, War, and Navy Building.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d6225bc819097707be620681e7b completed March 22, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603dd70b48190844e513246930b53 completed March 27, 2026, 4:13 a.m.
NEDg Description generation batch_69c606751c60819081f7ecf92131606a completed March 27, 2026, 4:24 a.m.
NED2 Entity disambiguation (via description) batch_69c606ccace88190800e3621ac0a2fa5 completed March 27, 2026, 4:25 a.m.
Created at: March 22, 2026, 4:17 p.m.