Triple

T6198098
Position Surface form Disambiguated ID Type / Status
Subject Nottingham Forest F.C. E138559 entity
Predicate chairman P377 FINISHED
Object Nicholas Randall
Nicholas Randall is a British lawyer and football executive best known for serving as chairman of Nottingham Forest Football Club.
E575039 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: Nicholas Randall | Statement: [Nottingham Forest F.C., chairman, Nicholas Randall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicholas Randall
Context triple: [Nottingham Forest F.C., chairman, Nicholas Randall]
  • A. Nicholas Fitzhugh
    Nicholas Fitzhugh was an early 19th-century American jurist who served as a judge on the Circuit Court of the District of Columbia.
  • B. Jacob Craycroft
    Jacob Craycroft is a film editor known for his work on the adaptation of John Green’s novel "Paper Towns."
  • C. Alec Trevelyan
    Alec Trevelyan is the primary antagonist and former 00 agent in the James Bond film "GoldenEye," who betrays MI6 and opposes Bond.
  • D. Nicholas Lyndhurst
    Nicholas Lyndhurst is an English actor best known for his comedic and dramatic roles on British television, particularly in the classic sitcom "Only Fools and Horses."
  • E. John Ridgely
    John Ridgely was an American character actor of the 1930s and 1940s, known for his supporting roles in numerous Hollywood films, particularly crime dramas and film noirs.
  • 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: Nicholas Randall
Triple: [Nottingham Forest F.C., chairman, Nicholas Randall]
Generated description
Nicholas Randall is a British lawyer and football executive best known for serving as chairman of Nottingham Forest Football Club.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nicholas Randall
Target entity description: Nicholas Randall is a British lawyer and football executive best known for serving as chairman of Nottingham Forest Football Club.
  • A. Nicholas Fitzhugh
    Nicholas Fitzhugh was an early 19th-century American jurist who served as a judge on the Circuit Court of the District of Columbia.
  • B. Jacob Craycroft
    Jacob Craycroft is a film editor known for his work on the adaptation of John Green’s novel "Paper Towns."
  • C. Alec Trevelyan
    Alec Trevelyan is the primary antagonist and former 00 agent in the James Bond film "GoldenEye," who betrays MI6 and opposes Bond.
  • D. Nicholas Lyndhurst
    Nicholas Lyndhurst is an English actor best known for his comedic and dramatic roles on British television, particularly in the classic sitcom "Only Fools and Horses."
  • E. John Ridgely
    John Ridgely was an American character actor of the 1930s and 1940s, known for his supporting roles in numerous Hollywood films, particularly crime dramas and film noirs.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06251b47881909bd8d2ea37541959 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f302984819089c6a17dda476a4b completed March 23, 2026, 4:49 p.m.
NEDg Description generation batch_69c1c9a4bdd481909f836be4167befea completed March 23, 2026, 11:15 p.m.
NED2 Entity disambiguation (via description) batch_69c1ca257cb88190bee32a8ecb15c02b completed March 23, 2026, 11:17 p.m.
Created at: March 22, 2026, 4:20 p.m.