Triple

T586063
Position Surface form Disambiguated ID Type / Status
Subject Fred Clarke E15159 entity
Predicate familyName P18 FINISHED
Object Clarke
Clarke is a common English and Irish surname historically associated with the occupation of a clerk or scholar.
 E73353 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: Clarke | Statement: [Fred Clarke, familyName, Clarke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Clarke
Context triple: [Fred Clarke, familyName, Clarke]
  • A. Valee
    Valee is an American rapper known for his laid-back flow, minimalist beats, and work with Kanye West’s G.O.O.D. Music label.
  • B. Marsden
    Marsden is a village in West Yorkshire, England, situated in the Colne Valley near the Pennines and known for its industrial heritage and scenic moorland surroundings.
  • C. Brin
    Brin is a surname most prominently associated with Sergey Brin, the co-founder of Google and a leading figure in the technology industry.
  • D. Hale
    Hale is a village and civil parish in the Metropolitan Borough of Trafford, Greater Manchester, England, known for its affluent residential character and proximity to Altrincham.
  • E. Griffith
    Griffith is a major regional city in New South Wales, Australia, known for its agricultural production, especially wine and citrus, and its culturally diverse community.
  • 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: Clarke
Triple: [Fred Clarke, familyName, Clarke]
Generated description
Clarke is a common English and Irish surname historically associated with the occupation of a clerk or scholar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Clarke
Target entity description: Clarke is a common English and Irish surname historically associated with the occupation of a clerk or scholar.
  • A. Valee
    Valee is an American rapper known for his laid-back flow, minimalist beats, and work with Kanye West’s G.O.O.D. Music label.
  • B. Marsden
    Marsden is a village in West Yorkshire, England, situated in the Colne Valley near the Pennines and known for its industrial heritage and scenic moorland surroundings.
  • C. Brin
    Brin is a surname most prominently associated with Sergey Brin, the co-founder of Google and a leading figure in the technology industry.
  • D. Hale
    Hale is a village and civil parish in the Metropolitan Borough of Trafford, Greater Manchester, England, known for its affluent residential character and proximity to Altrincham.
  • E. Griffith
    Griffith is a major regional city in New South Wales, Australia, known for its agricultural production, especially wine and citrus, and its culturally diverse community.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b9a46388190a094b9ebf8dec397 completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a50e273f508190bbbec5da99cb8a42 completed March 2, 2026, 4:12 a.m.
NEDg Description generation batch_69a50ed652148190a84c0d2aa5307211 completed March 2, 2026, 4:15 a.m.
NED2 Entity disambiguation (via description) batch_69a50f53c16c8190bbeb7fa550ed46b1 completed March 2, 2026, 4:17 a.m.
Created at: March 1, 2026, 7:33 p.m.