Triple

T10512690
Position Surface form Disambiguated ID Type / Status
Subject California Split E247953 entity
Predicate castMember P1668 FINISHED
Object Ann Prentiss
Ann Prentiss was an American character actress known for her supporting roles in film and television during the 1960s and 1970s.
E872748 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 Prentiss | Statement: [California Split, castMember, Ann Prentiss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ann Prentiss
Context triple: [California Split, castMember, Ann Prentiss]
  • A. Amy Prentiss
    Amy Prentiss is a 1970s American television crime drama series featuring Jessica Walter as a pioneering female chief of detectives in San Francisco.
  • B. Mary Jane Bradley
    Mary Jane Bradley was the wife of James Sevier Conway, the first governor of the U.S. state of Arkansas.
  • C. Elizabeth Cobb
    Elizabeth Cobb was the daughter of American humorist and author Irvin S. Cobb.
  • D. Alice Delbridge
    Alice Delbridge was the first wife of American actor Ralph Bellamy, known primarily in relation to his early personal life.
  • E. Rose Loomis
    Rose Loomis is the seductive and scheming wife portrayed by Marilyn Monroe in the 1953 film noir "Niagara."
  • 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 Prentiss
Triple: [California Split, castMember, Ann Prentiss]
Generated description
Ann Prentiss was an American character actress known for her supporting roles in film and television during the 1960s and 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ann Prentiss
Target entity description: Ann Prentiss was an American character actress known for her supporting roles in film and television during the 1960s and 1970s.
  • A. Amy Prentiss
    Amy Prentiss is a 1970s American television crime drama series featuring Jessica Walter as a pioneering female chief of detectives in San Francisco.
  • B. Mary Jane Bradley
    Mary Jane Bradley was the wife of James Sevier Conway, the first governor of the U.S. state of Arkansas.
  • C. Elizabeth Cobb
    Elizabeth Cobb was the daughter of American humorist and author Irvin S. Cobb.
  • D. Alice Delbridge
    Alice Delbridge was the first wife of American actor Ralph Bellamy, known primarily in relation to his early personal life.
  • E. Rose Loomis
    Rose Loomis is the seductive and scheming wife portrayed by Marilyn Monroe in the 1953 film noir "Niagara."
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509ca214481909b3ed9265e7a6704 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b13f4fc8190863d6e1aa7da5733 completed April 10, 2026, 7:10 p.m.
NEDg Description generation batch_69d94c6fa9ac8190819a399754d2bd15 completed April 10, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69d953440a508190a50d1897cdbeba03 completed April 10, 2026, 7:45 p.m.
Created at: April 6, 2026, 12:27 p.m.