Triple

T774869
Position Surface form Disambiguated ID Type / Status
Subject Cary Grant E16364 entity
Predicate child P120 FINISHED
Object Jennifer Grant
Jennifer Grant is an American actress and the daughter of classic Hollywood film star Cary Grant.
 E232643 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: Jennifer Grant | Statement: [Cary Grant, child, Jennifer Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jennifer Grant
Context triple: [Cary Grant, child, Jennifer Grant]
  • A. Kate Garvey
    Kate Garvey is a British public relations executive and former political aide, known for her work with Tony Blair and her marriage to Wikipedia co-founder Jimmy Wales.
  • B. Lisa Rogers
    Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
  • C. Elizabeth Roboz
    Elizabeth Roboz was a Hungarian-American neurobiologist and biochemist known for her research on brain chemistry and her marriage to Hans Albert Einstein, the son of Albert Einstein.
  • D. Carol Stevens
    Carol Stevens is best known as one of the former wives of American novelist and journalist Norman Mailer.
  • E. Amy Catherine Robbins
    Amy Catherine Robbins was the long-time partner and later wife of English writer H. G. Wells, known for her supportive role in his personal and professional life.
  • 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: Jennifer Grant
Triple: [Cary Grant, child, Jennifer Grant]
Generated description
Jennifer Grant is an American actress and the daughter of classic Hollywood film star Cary Grant.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jennifer Grant
Target entity description: Jennifer Grant is an American actress and the daughter of classic Hollywood film star Cary Grant.
  • A. Kate Garvey
    Kate Garvey is a British public relations executive and former political aide, known for her work with Tony Blair and her marriage to Wikipedia co-founder Jimmy Wales.
  • B. Lisa Rogers
    Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
  • C. Elizabeth Roboz
    Elizabeth Roboz was a Hungarian-American neurobiologist and biochemist known for her research on brain chemistry and her marriage to Hans Albert Einstein, the son of Albert Einstein.
  • D. Carol Stevens
    Carol Stevens is best known as one of the former wives of American novelist and journalist Norman Mailer.
  • E. Amy Catherine Robbins
    Amy Catherine Robbins was the long-time partner and later wife of English writer H. G. Wells, known for her supportive role in his personal and professional life.
  • 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a73236288190b82d66202f2f7399 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae26c4077081908dbf36ed274afa58 completed March 9, 2026, 1:47 a.m.
NEDg Description generation batch_69ae2763b4b08190b733e8342a52f75e completed March 9, 2026, 1:50 a.m.
NED2 Entity disambiguation (via description) batch_69ae27d10bf08190a14fa1ca906646f8 completed March 9, 2026, 1:52 a.m.
Created at: March 1, 2026, 7:37 p.m.