Triple

T9866789
Position Surface form Disambiguated ID Type / Status
Subject Soraya M. Coley E239852 entity
Predicate spouse P13 FINISHED
Object Ron Coley
Ron Coley is known as the husband of academic leader and university president Soraya M. Coley.
E834010 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: Ron Coley | Statement: [Soraya M. Coley, spouse, Ron Coley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ron Coley
Context triple: [Soraya M. Coley, spouse, Ron Coley]
  • A. Greg Colton
    Greg Colton is an American animation director best known for his work on the television series "Family Guy," including the acclaimed episode "Road to the Multiverse."
  • B. Grant Collier
    Grant Collier is a video game developer best known as a co-founder of Infinity Ward and a key figure behind the early Call of Duty series.
  • C. Jeff Colyer
    Jeff Colyer is an American surgeon and Republican politician who served as the 47th governor of Kansas.
  • D. Tim Cole
    Tim Cole is an Australian musician best known as a member of the ambient/world music group Not Drowning, Waving.
  • E. Ted Cole
    Ted Cole is a central fictional character in John Irving’s novel "A Widow for One Year," portrayed as a charismatic yet deeply flawed children’s book author whose personal tragedies and infidelities shape much of the story’s emotional landscape.
  • 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: Ron Coley
Triple: [Soraya M. Coley, spouse, Ron Coley]
Generated description
Ron Coley is known as the husband of academic leader and university president Soraya M. Coley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ron Coley
Target entity description: Ron Coley is known as the husband of academic leader and university president Soraya M. Coley.
  • A. Greg Colton
    Greg Colton is an American animation director best known for his work on the television series "Family Guy," including the acclaimed episode "Road to the Multiverse."
  • B. Grant Collier
    Grant Collier is a video game developer best known as a co-founder of Infinity Ward and a key figure behind the early Call of Duty series.
  • C. Jeff Colyer
    Jeff Colyer is an American surgeon and Republican politician who served as the 47th governor of Kansas.
  • D. Tim Cole
    Tim Cole is an Australian musician best known as a member of the ambient/world music group Not Drowning, Waving.
  • E. Ted Cole
    Ted Cole is a central fictional character in John Irving’s novel "A Widow for One Year," portrayed as a charismatic yet deeply flawed children’s book author whose personal tragedies and infidelities shape much of the story’s emotional landscape.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d209ac8190b9bc9ff017a132da completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2576ba3f08190adafa5ef87e98026 completed April 5, 2026, 12:36 p.m.
NEDg Description generation batch_69d25a19f66081908dbc68eb0ad7edb3 completed April 5, 2026, 12:48 p.m.
NED2 Entity disambiguation (via description) batch_69d25a63ab9c81908a6e7bfe157c8c14 completed April 5, 2026, 12:49 p.m.
Created at: March 30, 2026, 8:36 p.m.