Triple

T3406535
Position Surface form Disambiguated ID Type / Status
Subject Tyne Daly E71785 entity
Predicate mother P120 FINISHED
Object Hope Newell
Hope Newell was an American actress and the mother of Emmy-winning actress Tyne Daly.
E527052 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: Hope Newell | Statement: [Tyne Daly, mother, Hope Newell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hope Newell
Context triple: [Tyne Daly, mother, Hope Newell]
  • A. Emma E. Hickox
    Emma E. Hickox is a British film editor known for her work on feature films such as "The Boat That Rocked."
  • B. Ellen Hutchison
    Ellen Hutchison was the wife of Edwin M. Stanton, the U.S. Secretary of War under President Abraham Lincoln.
  • C. Mary Elizabeth Horner
    Mary Elizabeth Horner, later known as Mary Horner Lyell, was a 19th-century British conchologist and scientific illustrator who collaborated closely with her geologist husband Charles Lyell.
  • D. Elizabeth Griscom
    Elizabeth Griscom, better known as Betsy Ross, was an American upholsterer and seamstress traditionally credited with sewing the first flag of the United States.
  • E. Marguerite Harrison
    Marguerite Harrison was an American journalist and spy known for her intelligence work in post–World War I Europe and the Soviet Union.
  • 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: Hope Newell
Triple: [Tyne Daly, mother, Hope Newell]
Generated description
Hope Newell was an American actress and the mother of Emmy-winning actress Tyne Daly.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hope Newell
Target entity description: Hope Newell was an American actress and the mother of Emmy-winning actress Tyne Daly.
  • A. Emma E. Hickox
    Emma E. Hickox is a British film editor known for her work on feature films such as "The Boat That Rocked."
  • B. Ellen Hutchison
    Ellen Hutchison was the wife of Edwin M. Stanton, the U.S. Secretary of War under President Abraham Lincoln.
  • C. Mary Elizabeth Horner
    Mary Elizabeth Horner, later known as Mary Horner Lyell, was a 19th-century British conchologist and scientific illustrator who collaborated closely with her geologist husband Charles Lyell.
  • D. Elizabeth Griscom
    Elizabeth Griscom, better known as Betsy Ross, was an American upholsterer and seamstress traditionally credited with sewing the first flag of the United States.
  • E. Marguerite Harrison
    Marguerite Harrison is an American documentary filmmaker best known for directing the 1999 film "Grass," which explores the history of marijuana prohibition in the United States.
  • 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_69ad85aac4808190a092c9cc8911f584 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8ec68c88190913df5f6cafad9e9 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfd42f73b88190bb69bffa6a8b9efe completed March 22, 2026, 11:36 a.m.
NEDg Description generation batch_69bfd4b21f3881909c1ba8fb37e6a4e5 completed March 22, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69bfd51d63fc8190a8b229845b1ba933 completed March 22, 2026, 11:40 a.m.
Created at: March 8, 2026, 3:15 p.m.