Triple

T6164858
Position Surface form Disambiguated ID Type / Status
Subject Fry E137530 entity
Predicate hasNotableBearer P458 FINISHED
Object Thomas Fry
Thomas Fry is a personal name shared by multiple individuals, including various historical and contemporary figures across different professions.
E594730 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 Fry | Statement: [Fry, hasNotableBearer, Thomas Fry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Fry
Context triple: [Fry, hasNotableBearer, Thomas Fry]
  • A. James Fry
    James Fry is a relatively common personal name that may refer to multiple individuals across different professions and contexts.
  • B. Walter Frye
    Walter Frye was a 15th-century English composer known for his influential sacred vocal music, particularly masses and motets, during the early Renaissance.
  • C. 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.
  • D. Robert Fry
    Robert Fry is a British artist and former Royal Marines officer known for his contemporary figurative paintings and military service.
  • E. Jean Fetter
    Jean Fetter is a British-born American psychologist and former dean of admissions at Stanford University, known for her work in higher education and advocacy for women in science and academia.
  • 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 Fry
Triple: [Fry, hasNotableBearer, Thomas Fry]
Generated description
Thomas Fry is a personal name shared by multiple individuals, including various historical and contemporary figures across different professions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas Fry
Target entity description: Thomas Fry is a personal name shared by multiple individuals, including various historical and contemporary figures across different professions.
  • A. James Fry
    James Fry is a relatively common personal name that may refer to multiple individuals across different professions and contexts.
  • B. Walter Frye
    Walter Frye was a 15th-century English composer known for his influential sacred vocal music, particularly masses and motets, during the early Renaissance.
  • C. 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.
  • D. Robert Fry
    Robert Fry is a British artist and former Royal Marines officer known for his contemporary figurative paintings and military service.
  • E. Jean Fetter
    Jean Fetter is a British-born American psychologist and former dean of admissions at Stanford University, known for her work in higher education and advocacy for women in science and academia.
  • 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_69c64b9dc6d08190919aa58e05c25635 completed March 27, 2026, 9:19 a.m.
NEDg Description generation batch_69c64deef8b4819087f91573b83ffbb4 completed March 27, 2026, 9:29 a.m.
NED2 Entity disambiguation (via description) batch_69c64e93ff088190bed68f7a5c774c19 completed March 27, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:17 p.m.