Triple

T2094808
Position Surface form Disambiguated ID Type / Status
Subject Cecil E32754 entity
Predicate hasNotableBearer P458 FINISHED
Object Cecil Brown
Cecil Brown is a name shared by several notable individuals, including an American novelist and academic, a World War II war correspondent, and a British politician.
E236816 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: Cecil Brown | Statement: [Cecil, hasNotableBearer, Cecil Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cecil Brown
Context triple: [Cecil, hasNotableBearer, Cecil Brown]
  • A. Paul Givan
    Paul Givan is a Democratic Unionist Party politician who served as First Minister of Northern Ireland.
  • B. Geoffrey Beevers
    Geoffrey Beevers is a British actor best known to Doctor Who fans for his chilling portrayal of the villainous Time Lord known as the Master.
  • C. Graham Stanton
    Graham Stanton is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
  • D. Nigel Lane
    Nigel Lane is a relatively obscure individual whose primary public mention appears to be as a namesake in reference data, with no widely documented achievements or roles.
  • E. John Leeson
    John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
  • 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: Cecil Brown
Triple: [Cecil, hasNotableBearer, Cecil Brown]
Generated description
Cecil Brown is a name shared by several notable individuals, including an American novelist and academic, a World War II war correspondent, and a British politician.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cecil Brown
Target entity description: Cecil Brown is a name shared by several notable individuals, including an American novelist and academic, a World War II war correspondent, and a British politician.
  • A. Paul Givan
    Paul Givan is a Democratic Unionist Party politician who served as First Minister of Northern Ireland.
  • B. Geoffrey Beevers
    Geoffrey Beevers is a British actor best known to Doctor Who fans for his chilling portrayal of the villainous Time Lord known as the Master.
  • C. Graham Stanton
    Graham Stanton is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
  • D. Nigel Lane
    Nigel Lane is a relatively obscure individual whose primary public mention appears to be as a namesake in reference data, with no widely documented achievements or roles.
  • E. John Leeson
    John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
  • 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_69a885eba0708190999696a45cbec816 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba99ddc48190bb2097b56efb7aca completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae518d29d4819090aa2a1c6fc7304d completed March 9, 2026, 4:50 a.m.
NEDg Description generation batch_69ae522f0394819087a7e7d9c6ca354c completed March 9, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_69ae5316acf881908dde9d83c36c8fd0 completed March 9, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:43 p.m.