Triple

T3448778
Position Surface form Disambiguated ID Type / Status
Subject War Doctor E72741 entity
Predicate portrayedBy P1507 FINISHED
Object Jonathan Carley
Jonathan Carley is an English actor best known for voicing the War Doctor in licensed Doctor Who audio dramas.
E378906 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: Jonathan Carley | Statement: [War Doctor, portrayedBy, Jonathan Carley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Carley
Context triple: [War Doctor, portrayedBy, Jonathan Carley]
  • A. Michael Laughlin
    Michael Laughlin was an American film producer, screenwriter, and director known for his work on cult and independent films in the 1970s and 1980s.
  • B. Andrew D. Martin
    Andrew D. Martin is an American political scientist and academic administrator who serves as the chancellor of Washington University in St. Louis.
  • C. Michael Proffitt
    Michael Proffitt is a British lexicographer who serves as the chief editor of the Oxford English Dictionary, overseeing its ongoing revision and development.
  • D. Stephen M. Kellen
    Stephen M. Kellen was a prominent financier and philanthropist known for his leadership at Arnhold and S. Bleichroeder and his significant support of cultural and educational institutions.
  • E. James Honaker
    James Honaker is a political scientist and statistician known for his work on methods for handling missing data and for coauthoring influential research with Gary King.
  • 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: Jonathan Carley
Triple: [War Doctor, portrayedBy, Jonathan Carley]
Generated description
Jonathan Carley is an English actor best known for voicing the War Doctor in licensed Doctor Who audio dramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jonathan Carley
Target entity description: Jonathan Carley is an English actor best known for voicing the War Doctor in licensed Doctor Who audio dramas.
  • A. Michael Laughlin
    Michael Laughlin was an American film producer, screenwriter, and director known for his work on cult and independent films in the 1970s and 1980s.
  • B. Andrew D. Martin
    Andrew D. Martin is an American political scientist and academic administrator who serves as the chancellor of Washington University in St. Louis.
  • C. Michael Proffitt
    Michael Proffitt is a British lexicographer who serves as the chief editor of the Oxford English Dictionary, overseeing its ongoing revision and development.
  • D. Stephen M. Kellen
    Stephen M. Kellen was a prominent financier and philanthropist known for his leadership at Arnhold and S. Bleichroeder and his significant support of cultural and educational institutions.
  • E. James Honaker
    James Honaker is a political scientist and statistician known for his work on methods for handling missing data and for coauthoring influential research with Gary King.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba71f4a4819089d08b871cc9b16f completed March 8, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c36c12008190b21c47091a4e2ca6 completed March 14, 2026, 2:09 a.m.
NEDg Description generation batch_69b4c4215ba481908d9d8eeb24ea298b completed March 14, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_69b4c494ad80819084d6aa10fe62a63b completed March 14, 2026, 2:14 a.m.
Created at: March 8, 2026, 3:16 p.m.