Triple

T7809145
Position Surface form Disambiguated ID Type / Status
Subject Safety Last! E180633 entity
Predicate editedBy P1954 FINISHED
Object T. J. Crizer
T. J. Crizer is a film editor known for his work on the classic silent comedy "Safety Last!" starring Harold Lloyd.
 E694522 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: T. J. Crizer | Statement: [Safety Last!, editedBy, T. J. Crizer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: T. J. Crizer
Context triple: [Safety Last!, editedBy, T. J. Crizer]
  • A. Jerrick Harding
    Jerrick Harding is an American professional basketball player best known as a prolific scoring guard who starred at Weber State University.
  • B. Heath Shuler
    Heath Shuler is a former NFL quarterback who later served as a Democratic U.S. Representative for North Carolina’s 11th congressional district.
  • C. Jeremiah Rivers
    Jeremiah Rivers is an American former college basketball player best known as the son of longtime NBA coach and former player Doc Rivers.
  • D. Tyron Garner
    Tyron Garner was one of the two men whose arrest for consensual same-sex activity led to the landmark 2003 U.S. Supreme Court decision in Lawrence v. Texas, which struck down sodomy laws nationwide.
  • E. Darrell Ware
    Darrell Ware was an American screenwriter active in Hollywood during the 1930s and 1940s, known for his work on several studio films of that era.
  • 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: T. J. Crizer
Triple: [Safety Last!, editedBy, T. J. Crizer]
Generated description
T. J. Crizer is a film editor known for his work on the classic silent comedy "Safety Last!" starring Harold Lloyd.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: T. J. Crizer
Target entity description: T. J. Crizer is a film editor known for his work on the classic silent comedy "Safety Last!" starring Harold Lloyd.
  • A. Jerrick Harding
    Jerrick Harding is an American professional basketball player best known as a prolific scoring guard who starred at Weber State University.
  • B. Heath Shuler
    Heath Shuler is a former NFL quarterback who later served as a Democratic U.S. Representative for North Carolina’s 11th congressional district.
  • C. Jeremiah Rivers
    Jeremiah Rivers is an American former college basketball player best known as the son of longtime NBA coach and former player Doc Rivers.
  • D. Tyron Garner
    Tyron Garner was one of the two men whose arrest for consensual same-sex activity led to the landmark 2003 U.S. Supreme Court decision in Lawrence v. Texas, which struck down sodomy laws nationwide.
  • E. Darrell Ware
    Darrell Ware was an American screenwriter active in Hollywood during the 1930s and 1940s, known for his work on several studio films of that era.
  • 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_69ca827f6f148190beca4e245b993506 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf78a6d88819093f83528fe88b182 completed March 30, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb145b93788190a89f26dacbd0b437 completed March 31, 2026, 12:24 a.m.
NEDg Description generation batch_69cb173190a88190b31fd7973bc19d43 completed March 31, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69cb1a49beb4819090532acabb9391b1 completed March 31, 2026, 12:50 a.m.
Created at: March 30, 2026, 4:36 p.m.