Triple

T19670752
Position Surface form Disambiguated ID Type / Status
Subject Doherty E472327 entity
Predicate hasNotableBearer P458 FINISHED
Object Paul Doherty
Paul Doherty is a British author and historian best known for his prolific historical mystery novels set in medieval and ancient times.
 E1465367 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: Paul Doherty | Statement: [Doherty, hasNotableBearer, Paul Doherty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paul Doherty
Context triple: [Doherty, hasNotableBearer, Paul Doherty]
  • A. Robert Doherty
    Robert Doherty is an American television writer and producer best known for developing the modern Sherlock Holmes series "Elementary."
  • B. Hugh McDermott
    Hugh McDermott was a Scottish actor known for his supporting roles in British films of the 1930s and 1940s.
  • C. Peter Dougherty
    Peter Dougherty was a television producer and director best known for co-creating and shaping the influential hip-hop music video program "Yo! MTV Raps."
  • D. Philip Keenan
    Philip Keenan was an American astronomer best known for co-developing the Morgan–Keenan (MK) stellar classification system that remains a standard in astrophysics.
  • E. Charles Dougherty
    Charles Dougherty was a prominent 19th-century Georgia jurist and political figure for whom Dougherty County was named.
  • 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: Paul Doherty
Triple: [Doherty, hasNotableBearer, Paul Doherty]
Generated description
Paul Doherty is a British author and historian best known for his prolific historical mystery novels set in medieval and ancient times.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paul Doherty
Target entity description: Paul Doherty is a British author and historian best known for his prolific historical mystery novels set in medieval and ancient times.
  • A. Robert Doherty
    Robert Doherty is an American television writer and producer best known for developing the modern Sherlock Holmes series "Elementary."
  • B. Hugh McDermott
    Hugh McDermott was a Scottish actor known for his supporting roles in British films of the 1930s and 1940s.
  • C. Peter Dougherty
    Peter Dougherty was a television producer and director best known for co-creating and shaping the influential hip-hop music video program "Yo! MTV Raps."
  • D. Philip Keenan
    Philip Keenan was an American astronomer best known for co-developing the Morgan–Keenan (MK) stellar classification system that remains a standard in astrophysics.
  • E. Charles Dougherty
    Charles Dougherty was a prominent 19th-century Georgia jurist and political figure for whom Dougherty County was named.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416b9cf8819096f44e3f9fbf86fa completed April 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09504e01b48190a7a40215c542580c completed May 17, 2026, 5:21 a.m.
NEDg Description generation batch_6a09533134208190918e7a545576465c completed May 17, 2026, 5:33 a.m.
NED2 Entity disambiguation (via description) batch_6a09539ec5a48190a9a513732b88e4c1 completed May 17, 2026, 5:35 a.m.
Created at: April 10, 2026, 1:45 p.m.