Triple

T13667894
Position Surface form Disambiguated ID Type / Status
Subject Exile E327669 entity
Predicate characterPlayedBy P1507 FINISHED
Object Tom Ronstadt – John Simm
Tom Ronstadt is the troubled journalist protagonist of the British television drama "Exile," portrayed by actor John Simm.
E1052364 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: Tom Ronstadt – John Simm | Statement: [Exile, characterPlayedBy, Tom Ronstadt – John Simm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Ronstadt – John Simm
Context triple: [Exile, characterPlayedBy, Tom Ronstadt – John Simm]
  • A. Charlie May Simon
    Charlie May Simon was an American children's author and educator known for her historical and biographical books for young readers, particularly about Arkansas and the American South.
  • B. Joe Sims
    Joe Sims is an American political activist and leader known for serving as chairperson of the Communist Party USA.
  • C. Joel O’Brien
    Joel O’Brien is a musician known for his work featured on the album "Tapestry."
  • D. Ron Stewart
    Ron Stewart was a standout Canadian Football League running back best known for his long and successful career with the Ottawa Rough Riders.
  • E. Dick Sims
    Dick Sims was an American keyboardist best known for his work with Eric Clapton in the 1970s, contributing to several of Clapton’s classic recordings and tours.
  • 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: Tom Ronstadt – John Simm
Triple: [Exile, characterPlayedBy, Tom Ronstadt – John Simm]
Generated description
Tom Ronstadt is the troubled journalist protagonist of the British television drama "Exile," portrayed by actor John Simm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tom Ronstadt – John Simm
Target entity description: Tom Ronstadt is the troubled journalist protagonist of the British television drama "Exile," portrayed by actor John Simm.
  • A. Charlie May Simon
    Charlie May Simon was an American children's author and educator known for her historical and biographical books for young readers, particularly about Arkansas and the American South.
  • B. Joe Sims
    Joe Sims is an American political activist and leader known for serving as chairperson of the Communist Party USA.
  • C. Joel O’Brien
    Joel O’Brien is a musician known for his work featured on the album "Tapestry."
  • D. Ron Stewart
    Ron Stewart was a standout Canadian Football League running back best known for his long and successful career with the Ottawa Rough Riders.
  • E. Dick Sims
    Dick Sims was an American keyboardist best known for his work with Eric Clapton in the 1970s, contributing to several of Clapton’s classic recordings and tours.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65832688190aea688fee0a7cbdb completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b0cfe0c8190b0fe50931e9788cf completed May 3, 2026, 5:51 p.m.
NEDg Description generation batch_69f78bd727048190a57a75294a9ab53d completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78c9f543481909a0de6a0c3bb041f completed May 3, 2026, 5:57 p.m.
Created at: April 9, 2026, 9:52 p.m.