Triple

T20746391
Position Surface form Disambiguated ID Type / Status
Subject Ruth Rendell E510594 entity
Predicate spouse P13 FINISHED
Object Don Rendell
Don Rendell was a British jazz saxophonist and bandleader known for his influential work in the UK modern jazz scene from the 1950s onward.
 E1449583 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: Don Rendell | Statement: [Ruth Rendell, spouse, Don Rendell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Don Rendell
Context triple: [Ruth Rendell, spouse, Don Rendell]
  • A. Ed Rendell
    Ed Rendell is an American Democratic politician who served as mayor of Philadelphia and later as governor of Pennsylvania.
  • B. Michael Nutter
    Michael Nutter is an American politician who served as the 98th mayor of Philadelphia from 2008 to 2016.
  • C. Rendell
    Rendell is an English surname most notably associated with acclaimed crime novelist Ruth Rendell.
  • D. Michael Cavener
    Michael Cavener is a musician known for being a member of the Canadian rock band The Guess Who.
  • E. Mike Garrett
    Mike Garrett is a former American football running back best known for his standout collegiate career at USC, winning the Heisman Trophy, and later playing professionally in the AFL and NFL.
  • 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: Don Rendell
Triple: [Ruth Rendell, spouse, Don Rendell]
Generated description
Don Rendell was a British jazz saxophonist and bandleader known for his influential work in the UK modern jazz scene from the 1950s onward.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Don Rendell
Target entity description: Don Rendell was a British jazz saxophonist and bandleader known for his influential work in the UK modern jazz scene from the 1950s onward.
  • A. Ed Rendell
    Ed Rendell is an American Democratic politician who served as mayor of Philadelphia and later as governor of Pennsylvania.
  • B. Michael Nutter
    Michael Nutter is an American politician who served as the 98th mayor of Philadelphia from 2008 to 2016.
  • C. Rendell
    Rendell is an English surname most notably associated with acclaimed crime novelist Ruth Rendell.
  • D. Michael Cavener
    Michael Cavener is a musician known for being a member of the Canadian rock band The Guess Who.
  • E. Mike Garrett
    Mike Garrett is a former American football running back best known for his standout collegiate career at USC, winning the Heisman Trophy, and later playing professionally in the AFL and NFL.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c225c564819088f2461467698095 completed April 21, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08ef80099081908a25efdf0c9d3991 completed May 16, 2026, 10:28 p.m.
NEDg Description generation batch_6a08f1c8a1b08190b8d0f3e84a195ef5 completed May 16, 2026, 10:38 p.m.
NED2 Entity disambiguation (via description) batch_6a08f22a69348190869d69ec6144f85e completed May 16, 2026, 10:39 p.m.
Created at: April 16, 2026, 12:33 p.m.