Triple

T3316339
Position Surface form Disambiguated ID Type / Status
Subject Robert Forster E69689 entity
Predicate spouse P13 FINISHED
Object June Forster
June Forster is known as the wife of American actor Robert Forster.
E346609 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: June Forster | Statement: [Robert Forster, spouse, June Forster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: June Forster
Context triple: [Robert Forster, spouse, June Forster]
  • A. Helen Murdoch
    Helen Murdoch is a member of the prominent Murdoch family, known primarily as a daughter of influential Australian journalist and media executive Keith Murdoch.
  • B. Rosemary Harris
    Rosemary Harris is a British actress acclaimed for her extensive stage and screen career, including a Tony Award win and an Academy Award nomination.
  • C. Anne Heywood
    Anne Heywood is a British actress known for her film and television roles from the 1950s through the 1970s, often portraying strong, complex female characters.
  • D. Googie Withers
    Googie Withers was a British-Australian actress renowned for her work in mid-20th-century film, theatre, and television, particularly in British cinema and later Australian productions.
  • E. Anne Forster
    Anne Forster was the wife of the Irish philosopher and Anglican bishop George Berkeley, known primarily through her marriage into his prominent intellectual and clerical household.
  • 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: June Forster
Triple: [Robert Forster, spouse, June Forster]
Generated description
June Forster is known as the wife of American actor Robert Forster.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: June Forster
Target entity description: June Forster is known as the wife of American actor Robert Forster.
  • A. Helen Murdoch
    Helen Murdoch is a member of the prominent Murdoch family, known primarily as a daughter of influential Australian journalist and media executive Keith Murdoch.
  • B. Rosemary Harris
    Rosemary Harris is a British actress acclaimed for her extensive stage and screen career, including a Tony Award win and an Academy Award nomination.
  • C. Anne Heywood
    Anne Heywood is a British actress known for her film and television roles from the 1950s through the 1970s, often portraying strong, complex female characters.
  • D. Googie Withers
    Googie Withers was a British-Australian actress renowned for her work in mid-20th-century film, theatre, and television, particularly in British cinema and later Australian productions.
  • E. Anne Forster
    Anne Forster was the wife of the Irish philosopher and Anglican bishop George Berkeley, known primarily through her marriage into his prominent intellectual and clerical household.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb11230b881908f5b554323729cc5 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3fa347481909432bd0178e7ea57 completed March 12, 2026, 5:12 p.m.
NEDg Description generation batch_69b2faf56ca08190b93486c07d94c08e completed March 12, 2026, 5:42 p.m.
NED2 Entity disambiguation (via description) batch_69b312b902fc819081ec01c3d418fae0 completed March 12, 2026, 7:23 p.m.
Created at: March 8, 2026, 3:11 p.m.