Triple

T17497771
Position Surface form Disambiguated ID Type / Status
Subject Fu Manchu stories E426109 entity
Predicate creator P184 FINISHED
Object Sax Rohmer NE NERFINISHED

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: Sax Rohmer | Statement: [Fu Manchu stories, creator, Sax Rohmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sax Rohmer
Context triple: [Fu Manchu stories, creator, Sax Rohmer]
  • A. Sax Rohmer chosen
    Sax Rohmer was a British novelist best known for creating the villainous mastermind Dr. Fu Manchu in a popular series of early 20th-century crime and adventure stories.
  • B. Leslie Charteris
    Leslie Charteris was a British-Chinese author best known for creating the adventurous crime-fighter Simon Templar, also known as "The Saint."
  • C. Edgar Wallace
    Edgar Wallace was a prolific British writer best known for his crime novels and for contributing to the original story that inspired the 1933 film "King Kong."
  • D. Frederic Dannay
    Frederic Dannay was an American mystery writer, editor, and co-creator of the Ellery Queen character and franchise, influential in shaping 20th-century detective fiction.
  • E. Charlie McKay
    Charlie McKay is a supporting character in the romantic comedy film "Kate & Leopold," serving as a modern-day acquaintance whose interactions help highlight the film’s time-travel and romantic themes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4520f6790819092c36e0e4ecc4cd3 completed April 19, 2026, 3:54 a.m.
Created at: April 10, 2026, 5:48 a.m.