Triple

T549302
Position Surface form Disambiguated ID Type / Status
Subject Sylvia Plath E11802 entity
Predicate child P120 FINISHED
Object Frieda Hughes
Frieda Hughes is a British poet, painter, and writer, and the daughter of poets Sylvia Plath and Ted Hughes.
 E214893 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: Frieda Hughes | Statement: [Sylvia Plath, child, Frieda Hughes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Frieda Hughes
Context triple: [Sylvia Plath, child, Frieda Hughes]
  • A. Freda Miller
    Freda Miller is known primarily as the former spouse of American television and radio host Larry King.
  • B. Mary Scudder
    Mary Scudder is the pious, dutiful young heroine of Harriet Beecher Stowe’s novel "The Minister’s Wooing," whose moral integrity and emotional struggles drive much of the story’s drama.
  • C. Gertrude Elles
    Gertrude Elles was a pioneering British geologist and paleontologist known for her influential work on graptolites and contributions to stratigraphy.
  • D. Enid Bennett
    Enid Bennett was an Australian-born silent film actress who became a popular leading lady in early Hollywood cinema.
  • E. Lucille Sheardown
    Lucille Sheardown was one of the later wives of American inventor Lee de Forest, associated with his personal life rather than his pioneering work in radio and electronics.
  • 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: Frieda Hughes
Triple: [Sylvia Plath, child, Frieda Hughes]
Generated description
Frieda Hughes is a British poet, painter, and writer, and the daughter of poets Sylvia Plath and Ted Hughes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Frieda Hughes
Target entity description: Frieda Hughes is a British poet, painter, and writer, and the daughter of poets Sylvia Plath and Ted Hughes.
  • A. Freda Miller
    Freda Miller is known primarily as the former spouse of American television and radio host Larry King.
  • B. Mary Scudder
    Mary Scudder is the pious, dutiful young heroine of Harriet Beecher Stowe’s novel "The Minister’s Wooing," whose moral integrity and emotional struggles drive much of the story’s drama.
  • C. Gertrude Elles
    Gertrude Elles was a pioneering British geologist and paleontologist known for her influential work on graptolites and contributions to stratigraphy.
  • D. Enid Bennett
    Enid Bennett was an Australian-born silent film actress who became a popular leading lady in early Hollywood cinema.
  • E. Lucille Sheardown
    Lucille Sheardown was one of the later wives of American inventor Lee de Forest, associated with his personal life rather than his pioneering work in radio and electronics.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49901e4e481909a5ed93c21ab37bd completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69adf39f5694819086fcdbd27fa2ea4b completed March 8, 2026, 10:09 p.m.
NEDg Description generation batch_69adf471909881909de20d9d1fa0b372 completed March 8, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69adf50b17a081909b93ad3e08c71772 completed March 8, 2026, 10:15 p.m.
Created at: March 1, 2026, 7:32 p.m.