Triple

T7809189
Position Surface form Disambiguated ID Type / Status
Subject The Freshman E180634 entity
Predicate starring P1507 FINISHED
Object Hazel Keener
Hazel Keener was an American actress best known for her roles in silent and early sound films of the 1920s and 1930s.
E699088 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: Hazel Keener | Statement: [The Freshman, starring, Hazel Keener]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hazel Keener
Context triple: [The Freshman, starring, Hazel Keener]
  • A. Hazel Jenkins
    Hazel Jenkins is a South African politician who served as Premier of the Northern Cape province.
  • B. Mary Harkness
    Mary Harkness was the first wife of American industrialist and railroad magnate Henry Flagler, with whom she shared the early years of his rise in the oil and transportation industries.
  • C. Hattie Glascoe
    Hattie Glascoe was the first wife of American actor Louis Gossett Jr., known primarily for her brief marriage to him in the 1960s.
  • D. Hazel Bennet
    Hazel Bennet was the wife of American film director and actor Lloyd Bacon, associated with Hollywood’s early studio era.
  • E. Florence McFadden
    Florence McFadden was the wife of American actor and vaudevillian Jack Haley, best known for his role as the Tin Man in the classic film "The Wizard of Oz."
  • 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: Hazel Keener
Triple: [The Freshman, starring, Hazel Keener]
Generated description
Hazel Keener was an American actress best known for her roles in silent and early sound films of the 1920s and 1930s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hazel Keener
Target entity description: Hazel Keener was an American actress best known for her roles in silent and early sound films of the 1920s and 1930s.
  • A. Hazel Jenkins
    Hazel Jenkins is a South African politician who served as Premier of the Northern Cape province.
  • B. Mary Harkness
    Mary Harkness was the first wife of American industrialist and railroad magnate Henry Flagler, with whom she shared the early years of his rise in the oil and transportation industries.
  • C. Hattie Glascoe
    Hattie Glascoe was the first wife of American actor Louis Gossett Jr., known primarily for her brief marriage to him in the 1960s.
  • D. Hazel Bennet
    Hazel Bennet was the wife of American film director and actor Lloyd Bacon, associated with Hollywood’s early studio era.
  • E. Florence McFadden
    Florence McFadden was the wife of American actor and vaudevillian Jack Haley, best known for his role as the Tin Man in the classic film "The Wizard of Oz."
  • 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_69cb5a4724288190b6f18f8cdde080ed completed March 31, 2026, 5:23 a.m.
NEDg Description generation batch_69cb762ce6208190a24438e26ae83785 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb615dc248190b57b4fc7c430517f completed March 31, 2026, 11:55 a.m.
Created at: March 30, 2026, 4:36 p.m.