Triple

T7713488
Position Surface form Disambiguated ID Type / Status
Subject Pandora and the Flying Dutchman E174822 entity
Predicate editedBy P1954 FINISHED
Object Ralph Kemplen E520773 NE FINISHED

How this triple was built (2 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: Ralph Kemplen | Statement: [Pandora and the Flying Dutchman, editedBy, Ralph Kemplen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ralph Kemplen
Context triple: [Pandora and the Flying Dutchman, editedBy, Ralph Kemplen]
  • A. Ralph Kemplen chosen
    Ralph Kemplen was a British film editor known for his work on acclaimed films such as "A Man for All Seasons."
  • B. Denis Papin
    Denis Papin was a French physicist and inventor best known for pioneering the steam digester, an early pressure cooker that contributed to the development of steam power.
  • C. Cornelis Drebbel
    Cornelis Drebbel was a Dutch inventor and engineer best known for building one of the first navigable submarines in the early 17th century.
  • D. Isaac Jaggard
    Isaac Jaggard was a 17th-century London printer and publisher best known for producing major early editions of English drama, including works by William Shakespeare.
  • E. Konstantin Guericke
    Konstantin Guericke is a German-American entrepreneur best known as a co-founder of the professional networking platform LinkedIn.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702c96e388190898165f84d646c0e completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8acd3e9f88190adf42ab42c21b722 completed March 29, 2026, 4:38 a.m.
Created at: March 27, 2026, 4:04 p.m.