Triple

T16865739
Position Surface form Disambiguated ID Type / Status
Subject Chapter 9: The Pool of Peril E410031 entity
Predicate featuresCharacter P626 FINISHED
Object Dr. Hans Zarkov E410034 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: Dr. Hans Zarkov | Statement: [Chapter 9: The Pool of Peril, featuresCharacter, Dr. Hans Zarkov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dr. Hans Zarkov
Context triple: [Chapter 9: The Pool of Peril, featuresCharacter, Dr. Hans Zarkov]
  • A. Dr. Hans Zarkov chosen
    Dr. Hans Zarkov is a brilliant but eccentric scientist and ally of Flash Gordon in the classic science fiction adventure series.
  • B. Valerian Zorin
    Valerian Zorin was a Soviet diplomat and politician best known for his defiant role as the USSR’s representative to the United Nations during the Cold War.
  • C. Doctor Pomeranus
    Doctor Pomeranus is the nickname of Johann Bugenhagen, a key Lutheran reformer and pastor who helped organize the Protestant church in northern Germany and Scandinavia.
  • D. Max Zorin
    Max Zorin is the main villain in the James Bond film "A View to a Kill," a ruthless industrialist plotting to destroy Silicon Valley for financial gain.
  • E. Dr. Petrov
    Dr. Petrov is a minor Soviet medical officer aboard the submarine Red October in Tom Clancy’s Cold War thriller "The Hunt for Red October."
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b5088f208190abfe937633ebe3fe completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfc531c881908a33de8b491842ca completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:24 a.m.