Triple

T9722371
Position Surface form Disambiguated ID Type / Status
Subject Richard Basehart E235507 entity
Predicate child P120 FINISHED
Object Jack Basehart
Jack Basehart is the son of American actor Richard Basehart, known for his work in film and television during the mid-20th century.
E824450 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 Basehart | Statement: [Richard Basehart, child, Jack Basehart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Basehart
Context triple: [Richard Basehart, child, Jack Basehart]
  • A. Warner Oland
    Warner Oland was a Swedish-American actor best known for portraying the detective Charlie Chan in a popular series of 1930s films.
  • B. Harry Davenport
    Harry Davenport was an American character actor best known for his numerous supporting roles in classic Hollywood films of the 1930s and 1940s.
  • C. Edmund Lowe
    Edmund Lowe was an American film actor best known for his leading roles in silent and early sound-era Hollywood films, particularly in war dramas and comedies.
  • D. Eddie Bracken
    Eddie Bracken was an American comedic actor known for his roles in 1940s and 1950s film comedies and Broadway productions.
  • E. Otto Hunte
    Otto Hunte was a prominent German film art director and production designer best known for his influential work on classic Weimar-era films, including Fritz Lang’s Metropolis.
  • 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 Basehart
Triple: [Richard Basehart, child, Jack Basehart]
Generated description
Jack Basehart is the son of American actor Richard Basehart, known for his work in film and television during the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jack Basehart
Target entity description: Jack Basehart is the son of American actor Richard Basehart, known for his work in film and television during the mid-20th century.
  • A. Warner Oland
    Warner Oland was a Swedish-American actor best known for portraying the detective Charlie Chan in a popular series of 1930s films.
  • B. Harry Davenport
    Harry Davenport was an American character actor best known for his numerous supporting roles in classic Hollywood films of the 1930s and 1940s.
  • C. Edmund Lowe
    Edmund Lowe was an American film actor best known for his leading roles in silent and early sound-era Hollywood films, particularly in war dramas and comedies.
  • D. Eddie Bracken
    Eddie Bracken was an American comedic actor known for his roles in 1940s and 1950s film comedies and Broadway productions.
  • E. Otto Hunte
    Otto Hunte was a prominent German film art director and production designer best known for his influential work on classic Weimar-era films, including Fritz Lang’s Metropolis.
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e75abd48190a6e6679ec51496e8 completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1d59e0c8c8190888b56d75f9ba2c2 completed April 5, 2026, 3:23 a.m.
NEDg Description generation batch_69d1d70a50f88190b6d33c67f9891bdb completed April 5, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69d1d7a753408190ac9b8a89847babb7 completed April 5, 2026, 3:31 a.m.
Created at: March 30, 2026, 8:20 p.m.