Triple

T19469911
Position Surface form Disambiguated ID Type / Status
Subject Sweet Tooth E487093 entity
Predicate mainCharacter P1183 FINISHED
Object Serena Frome
Serena Frome is the protagonist of Ian McEwan’s novel "Sweet Tooth," a young Cambridge graduate recruited into a covert MI5 operation in 1970s Britain.
E1378875 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: Serena Frome | Statement: [Sweet Tooth, mainCharacter, Serena Frome]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serena Frome
Context triple: [Sweet Tooth, mainCharacter, Serena Frome]
  • A. Serena Tomalin
    Serena Tomalin is a British woman best known as one of the children of acclaimed biographer and literary journalist Claire Tomalin.
  • B. Tessa Sanger
    Tessa Sanger is the passionate, musically gifted young heroine of Margaret Kennedy’s novel "The Constant Nymph," whose intense, unconventional love and emotional vulnerability drive much of the story’s drama.
  • C. Sarah Townsend
    Sarah Townsend is a film director best known for her work on the movie "Force Majeure."
  • D. Sarah Freestone
    Sarah Freestone is known primarily as the wife of the prominent 19th-century English botanist John Lindley.
  • E. Laura Archera
    Laura Archera was an Italian-born violinist, writer, and psychological counselor best known as the wife and collaborator of author Aldous Huxley.
  • 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: Serena Frome
Triple: [Sweet Tooth, mainCharacter, Serena Frome]
Generated description
Serena Frome is the protagonist of Ian McEwan’s novel "Sweet Tooth," a young Cambridge graduate recruited into a covert MI5 operation in 1970s Britain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Serena Frome
Target entity description: Serena Frome is the protagonist of Ian McEwan’s novel "Sweet Tooth," a young Cambridge graduate recruited into a covert MI5 operation in 1970s Britain.
  • A. Serena Tomalin
    Serena Tomalin is a British woman best known as one of the children of acclaimed biographer and literary journalist Claire Tomalin.
  • B. Tessa Sanger
    Tessa Sanger is the passionate, musically gifted young heroine of Margaret Kennedy’s novel "The Constant Nymph," whose intense, unconventional love and emotional vulnerability drive much of the story’s drama.
  • C. Sarah Townsend
    Sarah Townsend is a film director best known for her work on the movie "Force Majeure."
  • D. Sarah Freestone
    Sarah Freestone is known primarily as the wife of the prominent 19th-century English botanist John Lindley.
  • E. Laura Archera
    Laura Archera was an Italian-born violinist, writer, and psychological counselor best known as the wife and collaborator of author Aldous Huxley.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633e6fd988190b79be580b65746fe completed April 20, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07404dfcb881909ed1a7ac20b6461e completed May 15, 2026, 3:48 p.m.
NEDg Description generation batch_6a0740ff37fc81908e68db633223fb9c completed May 15, 2026, 3:51 p.m.
NED2 Entity disambiguation (via description) batch_6a07424880e08190a582da18e3a6af19 completed May 15, 2026, 3:56 p.m.
Created at: April 10, 2026, 1:39 p.m.