Triple

T12001204
Position Surface form Disambiguated ID Type / Status
Subject Magdalen Hall, Oxford E285663 entity
Predicate educated P5 FINISHED
Object Anthony Wood
Anthony Wood was a 17th-century English antiquary and historian best known for his detailed works on the history and biography of the University of Oxford.
 E992037 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: Anthony Wood | Statement: [Magdalen Hall, Oxford, educated, Anthony Wood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anthony Wood
Context triple: [Magdalen Hall, Oxford, educated, Anthony Wood]
  • A. Anthony Wood
    Anthony Wood is a central character in the 1973 mystery film "The Last of Sheila," involved in a complex whodunit plot surrounding a deadly yacht party game.
  • B. Anthony Wood
    Anthony Wood is a technology entrepreneur best known as the founder and CEO of Roku, a leading streaming media platform.
  • C. Andrew Healey
    Andrew Healey is a person notable enough to be specifically referenced as a bearer of the surname Healey.
  • D. Philip Woodruff
    Philip Woodruff was the pen name of British civil servant Philip Mason, best known for his influential writings on the British Raj and the Indian Civil Service.
  • E. Peter Woodthorpe
    Peter Woodthorpe was an English character actor known for his work in film, television, and radio, including notable voice roles in fantasy adaptations.
  • 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: Anthony Wood
Triple: [Magdalen Hall, Oxford, educated, Anthony Wood]
Generated description
Anthony Wood was a 17th-century English antiquary and historian best known for his detailed works on the history and biography of the University of Oxford.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anthony Wood
Target entity description: Anthony Wood was a 17th-century English antiquary and historian best known for his detailed works on the history and biography of the University of Oxford.
  • A. Anthony Wood
    Anthony Wood is a technology entrepreneur best known as the founder and CEO of Roku, a leading streaming media platform.
  • B. Anthony Wood
    Anthony Wood is a central character in the 1973 mystery film "The Last of Sheila," involved in a complex whodunit plot surrounding a deadly yacht party game.
  • C. Andrew Healey
    Andrew Healey is a person notable enough to be specifically referenced as a bearer of the surname Healey.
  • D. Philip Woodruff
    Philip Woodruff was the pen name of British civil servant Philip Mason, best known for his influential writings on the British Raj and the Indian Civil Service.
  • E. Peter Woodthorpe
    Peter Woodthorpe was an English character actor known for his work in film, television, and radio, including notable voice roles in fantasy adaptations.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c36b248190b446b17def94885b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65e94b6008190ae19c245c4c62b5e completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f65ffd45e48190883c5b524b7c5e41 completed May 2, 2026, 8:35 p.m.
NED2 Entity disambiguation (via description) batch_69f6608ec32c8190803c6f5677c300d6 completed May 2, 2026, 8:37 p.m.
Created at: April 8, 2026, 9:46 p.m.