Triple

T7809335
Position Surface form Disambiguated ID Type / Status
Subject Speedy E180637 entity
Predicate hasCastMember P2308 FINISHED
Object Ann Christy
Ann Christy was an American film actress active in the late silent and early sound era, known for her roles in comedies and dramas of the 1920s and early 1930s.
E705799 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: Ann Christy | Statement: [Speedy, hasCastMember, Ann Christy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ann Christy
Context triple: [Speedy, hasCastMember, Ann Christy]
  • A. Carol Seaver
    Carol Seaver is the intelligent, ambitious, and sometimes neurotic teenage daughter in the family sitcom "Growing Pains."
  • B. Ann Hearn
    Ann Hearn is an American actress known for her supporting roles in film and television, including an appearance in the legal drama "The Accused."
  • C. Patricia Dane
    Patricia Dane was an American film actress of the 1940s who appeared in several MGM productions and was briefly married to bandleader Tommy Dorsey.
  • D. Elizabeth Kern
    Elizabeth Kern was the wife of renowned American jazz clarinetist and bandleader Artie Shaw.
  • E. Christine Thayer
    Christine Thayer is a central character in the film "Crash," depicted as a successful Black woman whose experiences expose racial tensions and injustices in contemporary Los Angeles.
  • 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: Ann Christy
Triple: [Speedy, hasCastMember, Ann Christy]
Generated description
Ann Christy was an American film actress active in the late silent and early sound era, known for her roles in comedies and dramas of the 1920s and early 1930s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ann Christy
Target entity description: Ann Christy was an American film actress active in the late silent and early sound era, known for her roles in comedies and dramas of the 1920s and early 1930s.
  • A. Carol Seaver
    Carol Seaver is the intelligent, ambitious, and sometimes neurotic teenage daughter in the family sitcom "Growing Pains."
  • B. Ann Hearn
    Ann Hearn is an American actress known for her supporting roles in film and television, including an appearance in the legal drama "The Accused."
  • C. Patricia Dane
    Patricia Dane was an American film actress of the 1940s who appeared in several MGM productions and was briefly married to bandleader Tommy Dorsey.
  • D. Elizabeth Kern
    Elizabeth Kern was the wife of renowned American jazz clarinetist and bandleader Artie Shaw.
  • E. Christine Thayer
    Christine Thayer is a central character in the film "Crash," depicted as a successful Black woman whose experiences expose racial tensions and injustices in contemporary Los Angeles.
  • 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_69cc55dd69bc819089d280e181d43bab completed March 31, 2026, 11:16 p.m.
NEDg Description generation batch_69cc5822581481908a143376bee599ec completed March 31, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_69cc58f549388190ba6c8b41c0820cd6 completed March 31, 2026, 11:29 p.m.
Created at: March 30, 2026, 4:36 p.m.