Triple

T18471897
Position Surface form Disambiguated ID Type / Status
Subject Vincent Korda E451321 entity
Predicate familyName P18 FINISHED
Object Korda
Korda is a notable Hungarian-British family name associated with influential film producers, directors, and art directors in early 20th-century cinema.
 E1326337 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: Korda | Statement: [Vincent Korda, familyName, Korda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Korda
Context triple: [Vincent Korda, familyName, Korda]
  • A. Bordoy
    Bordoy is one of the northern islands of the Faroe Islands, known for its rugged coastline, small fishing villages, and role as a regional hub in the archipelago.
  • B. Borduas
    Borduas is a provincial electoral district in Quebec, Canada, represented in the National Assembly.
  • C. Bardin
    Bardin is a French surname borne by various notable figures in fields such as art, politics, and academia.
  • D. Lassally
    Lassally is a German-origin surname most notably associated with Walter Lassally, an acclaimed cinematographer known for his work in British and Greek cinema.
  • E. Geva
    Geva is a surname most notably associated with Tamara Geva, a Russian-American actress, dancer, and choreographer.
  • 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: Korda
Triple: [Vincent Korda, familyName, Korda]
Generated description
Korda is a notable Hungarian-British family name associated with influential film producers, directors, and art directors in early 20th-century cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Korda
Target entity description: Korda is a notable Hungarian-British family name associated with influential film producers, directors, and art directors in early 20th-century cinema.
  • A. Bordoy
    Bordoy is one of the northern islands of the Faroe Islands, known for its rugged coastline, small fishing villages, and role as a regional hub in the archipelago.
  • B. Borduas
    Borduas is a provincial electoral district in Quebec, Canada, represented in the National Assembly.
  • C. Bardin
    Bardin is a French surname borne by various notable figures in fields such as art, politics, and academia.
  • D. Lassally
    Lassally is a German-origin surname most notably associated with Walter Lassally, an acclaimed cinematographer known for his work in British and Greek cinema.
  • E. Geva
    Geva is a surname most notably associated with Tamara Geva, a Russian-American actress, dancer, and choreographer.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53060ae2c8190bf0821bb0ea5bd59 completed April 19, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a043f29097881909bacb0df4ec9d307 completed May 13, 2026, 9:06 a.m.
NEDg Description generation batch_6a04407a51608190ba78d2c5337dd13f completed May 13, 2026, 9:12 a.m.
NED2 Entity disambiguation (via description) batch_6a04412ce3d481909044236be107de8d completed May 13, 2026, 9:15 a.m.
Created at: April 10, 2026, 11:34 a.m.