Triple

T6949691
Position Surface form Disambiguated ID Type / Status
Subject Morphosis E160887 entity
Predicate coFoundedBy P3263 FINISHED
Object Jim Stafford
Jim Stafford is a professional associated with the founding of Morphosis, likely contributing entrepreneurial or leadership expertise to the organization.
 E630358 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: Jim Stafford | Statement: [Morphosis, coFoundedBy, Jim Stafford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jim Stafford
Context triple: [Morphosis, coFoundedBy, Jim Stafford]
  • A. Don Stevens
    Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
  • B. Lee Eddy
    Lee Eddy is an American actress and comedian known for her work in independent films and voice roles in animated series.
  • C. Sam O'Steen
    Sam O'Steen was an acclaimed American film editor best known for his work on influential films such as "The Graduate," "Chinatown," and "Cool Hand Luke."
  • D. Larkin Seiple
    Larkin Seiple is an American cinematographer known for his visually inventive work on films such as "Everything Everywhere All at Once."
  • E. Rusty Baillie
    Rusty Baillie is a pioneering British rock climber and mountaineer known for making historic first ascents in the UK during the mid-20th century.
  • 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: Jim Stafford
Triple: [Morphosis, coFoundedBy, Jim Stafford]
Generated description
Jim Stafford is a professional associated with the founding of Morphosis, likely contributing entrepreneurial or leadership expertise to the organization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jim Stafford
Target entity description: Jim Stafford is a professional associated with the founding of Morphosis, likely contributing entrepreneurial or leadership expertise to the organization.
  • A. Don Stevens
    Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
  • B. Lee Eddy
    Lee Eddy is an American actress and comedian known for her work in independent films and voice roles in animated series.
  • C. Sam O'Steen
    Sam O'Steen was an acclaimed American film editor best known for his work on influential films such as "The Graduate," "Chinatown," and "Cool Hand Luke."
  • D. Larkin Seiple
    Larkin Seiple is an American cinematographer known for his visually inventive work on films such as "Everything Everywhere All at Once."
  • E. Rusty Baillie
    Rusty Baillie is a pioneering British rock climber and mountaineer known for making historic first ascents in the UK during the mid-20th century.
  • 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_69c68850419081909fb426b8f5a304c7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daad028c8190a6db5b2d029d4dfc completed March 27, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75874ffcc81908f31ff03e13cb5b0 completed March 28, 2026, 4:26 a.m.
NEDg Description generation batch_69c758ee37dc8190810e44d11c744ac7 completed March 28, 2026, 4:28 a.m.
NED2 Entity disambiguation (via description) batch_69c759a99b2c8190986ce5bc36502975 completed March 28, 2026, 4:31 a.m.
Created at: March 27, 2026, 2:29 p.m.