Triple

T12120475
Position Surface form Disambiguated ID Type / Status
Subject The Sum of All Fears E288679 entity
Predicate editedBy P1954 FINISHED
Object Nicolas de Toth E498095 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: Nicolas de Toth | Statement: [The Sum of All Fears, editedBy, Nicolas de Toth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicolas de Toth
Context triple: [The Sum of All Fears, editedBy, Nicolas de Toth]
  • A. Nicolas de Toth chosen
    Nicolas de Toth is a film editor best known for his work on major Hollywood action movies, including Terminator 3: Rise of the Machines.
  • B. André De Toth
    André De Toth was a Hungarian-American film director best known for his work in film noir and 3D horror, including the classic "House of Wax" (1953).
  • C. Vincent Korda
    Vincent Korda was a prominent Hungarian-British art director and production designer known for his influential visual work on classic films of the 1930s and 1940s.
  • D. Louis Kraemer
    Louis Kraemer was a party to the landmark U.S. Supreme Court case Shelley v. Kraemer, which held that courts could not enforce racially restrictive housing covenants.
  • E. Ivan Tors
    Ivan Tors was a Hungarian-American film and television producer best known for creating and producing animal- and nature-focused adventure series such as Flipper, Daktari, and Gentle Ben.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91577a03c81909add7a5d7324a648 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f684172c81908b77daa243dc8ed8 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.