Triple

T4609418
Position Surface form Disambiguated ID Type / Status
Subject Road to Utopia E100517 entity
Predicate starring P1507 FINISHED
Object Jack La Rue
Jack La Rue was an American character actor best known for his tough-guy and villain roles in Hollywood films of the 1930s and 1940s.
 E456167 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: Jack La Rue | Statement: [Road to Utopia, starring, Jack La Rue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jack La Rue
Context triple: [Road to Utopia, starring, Jack La Rue]
  • A. Jack Gariss
    Jack Gariss was an American screenwriter best known for his work on major mid-20th-century Hollywood films, including contributing to the script of Cecil B. DeMille’s epic "The Ten Commandments" (1956).
  • B. Jack Heuer
    Jack Heuer is a Swiss watchmaker and former head of TAG Heuer, best known for modernizing the brand and creating iconic chronograph designs.
  • C. Jack Feore
    Jack Feore is the son of Canadian-American actor Colm Feore.
  • D. John LaRue
    John LaRue was an early American pioneer and landowner in Kentucky after whom LaRue County was named.
  • E. Guy Trosper
    Guy Trosper was an American screenwriter known for his work on mid-20th-century Hollywood films, including several notable dramas and biographical movies.
  • 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: Jack La Rue
Triple: [Road to Utopia, starring, Jack La Rue]
Generated description
Jack La Rue was an American character actor best known for his tough-guy and villain roles in Hollywood films of the 1930s and 1940s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jack La Rue
Target entity description: Jack La Rue was an American character actor best known for his tough-guy and villain roles in Hollywood films of the 1930s and 1940s.
  • A. Jack Gariss
    Jack Gariss was an American screenwriter best known for his work on major mid-20th-century Hollywood films, including contributing to the script of Cecil B. DeMille’s epic "The Ten Commandments" (1956).
  • B. Jack Heuer
    Jack Heuer is a Swiss watchmaker and former head of TAG Heuer, best known for modernizing the brand and creating iconic chronograph designs.
  • C. Jack Feore
    Jack Feore is the son of Canadian-American actor Colm Feore.
  • D. John LaRue
    John LaRue was an early American pioneer and landowner in Kentucky after whom LaRue County was named.
  • E. Guy Trosper
    Guy Trosper was an American screenwriter known for his work on mid-20th-century Hollywood films, including several notable dramas and biographical movies.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd599f08d88190ad4bed8bafb592cd completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa7e918881908743818e0645da46 completed March 21, 2026, 1:55 a.m.
NEDg Description generation batch_69bdfb6fa3fc8190b79b641025710eb1 completed March 21, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69bdfbeddd7c8190955bd3363fec4ca1 completed March 21, 2026, 2:01 a.m.
Created at: March 20, 2026, 1:12 p.m.