Triple

T21489560
Position Surface form Disambiguated ID Type / Status
Subject Norman Davies E530200 entity
Predicate coAuthorWith P398 FINISHED
Object Roger Moorhouse
Roger Moorhouse is a British historian and author known for his works on Nazi Germany and World War II, including collaborations with fellow historian Norman Davies.
E1487469 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: Roger Moorhouse | Statement: [Norman Davies, coAuthorWith, Roger Moorhouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roger Moorhouse
Context triple: [Norman Davies, coAuthorWith, Roger Moorhouse]
  • A. Geoffrey Haslam
    Geoffrey Haslam is a record producer best known for his work on Bette Midler’s debut album "The Divine Miss M."
  • B. Clive Gollings
    Clive Gollings is a socially awkward British science-fiction enthusiast who embarks on a road trip with his friend Graeme in the comedy film "Paul."
  • C. Glyn Jessop
    Glyn Jessop is a former English cricketer who played at the first-class level.
  • D. Roger Lupton
    Roger Lupton was a 16th-century English clergyman and educational benefactor best known for his role in establishing Sedbergh School.
  • E. Giles Townsend
    Giles Townsend is a member of the Townsend family, known primarily as a son of British Royal Air Force officer and royal associate Peter Wooldridge Townsend.
  • 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: Roger Moorhouse
Triple: [Norman Davies, coAuthorWith, Roger Moorhouse]
Generated description
Roger Moorhouse is a British historian and author known for his works on Nazi Germany and World War II, including collaborations with fellow historian Norman Davies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Roger Moorhouse
Target entity description: Roger Moorhouse is a British historian and author known for his works on Nazi Germany and World War II, including collaborations with fellow historian Norman Davies.
  • A. Geoffrey Haslam
    Geoffrey Haslam is a record producer best known for his work on Bette Midler’s debut album "The Divine Miss M."
  • B. Clive Gollings
    Clive Gollings is a socially awkward British science-fiction enthusiast who embarks on a road trip with his friend Graeme in the comedy film "Paul."
  • C. Glyn Jessop
    Glyn Jessop is a former English cricketer who played at the first-class level.
  • D. Roger Lupton
    Roger Lupton was a 16th-century English clergyman and educational benefactor best known for his role in establishing Sedbergh School.
  • E. Giles Townsend
    Giles Townsend is a member of the Townsend family, known primarily as a son of British Royal Air Force officer and royal associate Peter Wooldridge Townsend.
  • 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea39e73081908e8d14118f9d1e03 completed April 23, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e135d8988190aeacd46b575fef07 completed May 17, 2026, 3:39 p.m.
NEDg Description generation batch_6a09e1b800188190ba1e667a7c2f1c4e completed May 17, 2026, 3:41 p.m.
NED2 Entity disambiguation (via description) batch_6a09e22dcac081909a02bbb3f74f42a9 completed May 17, 2026, 3:43 p.m.
Created at: April 16, 2026, 6:22 p.m.