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.