Triple

T6166044
Position Surface form Disambiguated ID Type / Status
Subject International Velvet E137560 entity
Predicate stars P1956 FINISHED
Object Dinsdale Landen
Dinsdale Landen was a British actor known for his work in film, television, and theatre from the 1950s through the 1990s.
 E572474 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: Dinsdale Landen | Statement: [International Velvet, stars, Dinsdale Landen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dinsdale Landen
Context triple: [International Velvet, stars, Dinsdale Landen]
  • A. Fen Ditton
    Fen Ditton is a village near Cambridge in eastern England, known for its riverside setting along the River Cam and historic parish church.
  • B. Endean
    Endean is a ruthless and calculating mercenary leader in Frederick Forsyth's novel "The Dogs of War."
  • C. Balderstone
    Balderstone is a district and residential area within the Balderstone and Kirkholt ward of Rochdale in Greater Manchester, England.
  • D. Sarsden
    Sarsden is a small rural village in Oxfordshire, England, known for its historic manor house and picturesque countryside setting.
  • E. Heseltine
    Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
  • 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: Dinsdale Landen
Triple: [International Velvet, stars, Dinsdale Landen]
Generated description
Dinsdale Landen was a British actor known for his work in film, television, and theatre from the 1950s through the 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dinsdale Landen
Target entity description: Dinsdale Landen was a British actor known for his work in film, television, and theatre from the 1950s through the 1990s.
  • A. Fen Ditton
    Fen Ditton is a village near Cambridge in eastern England, known for its riverside setting along the River Cam and historic parish church.
  • B. Endean
    Endean is a ruthless and calculating mercenary leader in Frederick Forsyth's novel "The Dogs of War."
  • C. Balderstone
    Balderstone is a district and residential area within the Balderstone and Kirkholt ward of Rochdale in Greater Manchester, England.
  • D. Sarsden
    Sarsden is a small rural village in Oxfordshire, England, known for its historic manor house and picturesque countryside setting.
  • E. Heseltine
    Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d6366948190b35ef44dd9d6fcd6 completed March 22, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141a3ea6c81908847998960c9d0eb completed March 23, 2026, 1:35 p.m.
NEDg Description generation batch_69c143d8090081909ec2759a7025bcfb completed March 23, 2026, 1:44 p.m.
NED2 Entity disambiguation (via description) batch_69c1444a09ac8190acfee8a878652d16 completed March 23, 2026, 1:46 p.m.
Created at: March 22, 2026, 4:17 p.m.