Triple

T3786417
Position Surface form Disambiguated ID Type / Status
Subject Super 8 E85540 entity
Predicate mainCharacter P1183 FINISHED
Object Charles Kaznyk
Charles Kaznyk is a passionate, loudmouthed young filmmaker and one of the central kids in the science-fiction film "Super 8."
E389694 NE FINISHED

How this triple was built (4 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: Charles Kaznyk | Statement: [Super 8, mainCharacter, Charles Kaznyk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Kaznyk
Context triple: [Super 8, mainCharacter, Charles Kaznyk]
  • A. Philip Zhmachenko
    Philip Zhmachenko was a Soviet military commander and general who played a significant leadership role in Red Army operations during World War II.
  • B. Brian Kotzur
    Brian Kotzur is an American drummer best known for his work with the indie rock band Silver Jews.
  • C. Leon Wasilewski
    Leon Wasilewski was a Polish politician, diplomat, and historian known for serving as Poland’s first foreign minister after World War I and for his work on Polish-Ukrainian relations.
  • D. Denys Maliuska
    Denys Maliuska is a Ukrainian lawyer and politician who served as Ukraine’s Minister of Justice in the government of Oleksiy Honcharuk.
  • E. Alexander Gruszynski
    Alexander Gruszynski is a Polish-born cinematographer and director known for his work on a variety of feature films and television projects.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Charles Kaznyk
Triple: [Super 8, mainCharacter, Charles Kaznyk]
Generated description
Charles Kaznyk is a passionate, loudmouthed young filmmaker and one of the central kids in the science-fiction film "Super 8."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Charles Kaznyk
Target entity description: Charles Kaznyk is a passionate, loudmouthed young filmmaker and one of the central kids in the science-fiction film "Super 8."
  • A. Philip Zhmachenko
    Philip Zhmachenko was a Soviet military commander and general who played a significant leadership role in Red Army operations during World War II.
  • B. Brian Kotzur
    Brian Kotzur is an American drummer best known for his work with the indie rock band Silver Jews.
  • C. Leon Wasilewski
    Leon Wasilewski was a Polish politician, diplomat, and historian known for serving as Poland’s first foreign minister after World War I and for his work on Polish-Ukrainian relations.
  • D. Denys Maliuska
    Denys Maliuska is a Ukrainian lawyer and politician who served as Ukraine’s Minister of Justice in the government of Oleksiy Honcharuk.
  • E. Alexander Gruszynski
    Alexander Gruszynski is a Polish-born cinematographer and director known for his work on a variety of feature films and television projects.
  • F. None of above. chosen

Provenance (5 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee42d2bc88190ab85529fcd1aa20a completed March 9, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb1c90648190a76cee07508a83b9 completed March 14, 2026, 6:07 a.m.
NEDg Description generation batch_69b4fbacc8dc8190bb7e4a14e2d2f504 completed March 14, 2026, 6:09 a.m.
NED2 Entity disambiguation (via description) batch_69b4fc1f679881908e63b22d910c532b completed March 14, 2026, 6:11 a.m.
Created at: March 9, 2026, 3:13 p.m.