Triple

T18755396
Position Surface form Disambiguated ID Type / Status
Subject Rounders E458634 entity
Predicate character P662 FINISHED
Object Professor Petrovsky — NE NERFINISHED

How this triple was built (3 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: Professor Petrovsky | Statement: [Rounders, character, Professor Petrovsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Professor Petrovsky
Context triple: [Rounders, character, Professor Petrovsky]
  • A. Professor Serebryakov
    Professor Serebryakov is an aging, self-absorbed academic whose arrival at his rural estate disrupts the lives and exposes the frustrations of the other characters in Anton Chekhov’s play "Uncle Vanya."
  • B. Professor Siletsky
    Professor Siletsky is a Nazi spy and antagonist in the 1942 satirical film "To Be or Not to Be."
  • C. 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."
  • D. Professor Kerensky
    Professor Kerensky is a fictional scientist character from the Doctor Who serial "City of Death," known for his time-experiment research in Paris.
  • E. Professor Grigor Pchelintsov
    Professor Grigor Pchelintsov is a Marvel Comics character associated with the Russian Red Room, often depicted as a key architect behind its brutal espionage and assassin-training operations.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Professor Petrovsky
Target entity description: Professor Petrovsky is a minor supporting character in the 1998 poker film "Rounders," known for his role as an academic figure connected to the protagonist’s law school world.
  • A. Professor Serebryakov
    Professor Serebryakov is an aging, self-absorbed academic whose arrival at his rural estate disrupts the lives and exposes the frustrations of the other characters in Anton Chekhov’s play "Uncle Vanya."
  • B. Professor Siletsky
    Professor Siletsky is a Nazi spy and antagonist in the 1942 satirical film "To Be or Not to Be."
  • C. 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."
  • D. Professor Kerensky
    Professor Kerensky is a fictional scientist character from the Doctor Who serial "City of Death," known for his time-experiment research in Paris.
  • E. Professor Grigor Pchelintsov
    Professor Grigor Pchelintsov is a Marvel Comics character associated with the Russian Red Room, often depicted as a key architect behind its brutal espionage and assassin-training operations.
  • F. None of above. chosen

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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579f084208190a4b3563d47154e69 completed April 20, 2026, 12:57 a.m.
Created at: April 10, 2026, 11:51 a.m.