Triple

T13153168
Position Surface form Disambiguated ID Type / Status
Subject Hut 6 E312515 entity
Predicate notableMember P10 FINISHED
Object Margaret Rock
Margaret Rock was a British mathematician and cryptanalyst who played a key role in codebreaking German ciphers at Bletchley Park during World War II.
E1023944 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: Margaret Rock | Statement: [Hut 6, notableMember, Margaret Rock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Rock
Context triple: [Hut 6, notableMember, Margaret Rock]
  • A. Patricia Dainton
    Patricia Dainton was a British film and television actress known for her roles in 1950s and 1960s thrillers and dramas.
  • B. Liz Imbrie
    Liz Imbrie is a witty, sardonic magazine reporter who serves as a key supporting character and romantic foil in the musical film "High Society."
  • C. Anna M. Harkness
    Anna M. Harkness was an American philanthropist of the late 19th and early 20th centuries, best known for her substantial charitable contributions that helped establish major educational and medical institutions.
  • D. Margaret Rudman
    Margaret Rudman is known as the wife of the late U.S. Senator Warren Rudman of New Hampshire.
  • E. Patricia Cockburn
    Patricia Cockburn was a British writer and memoirist known for her work in journalism and her vivid accounts of life in literary and political circles.
  • 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: Margaret Rock
Triple: [Hut 6, notableMember, Margaret Rock]
Generated description
Margaret Rock was a British mathematician and cryptanalyst who played a key role in codebreaking German ciphers at Bletchley Park during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Margaret Rock
Target entity description: Margaret Rock was a British mathematician and cryptanalyst who played a key role in codebreaking German ciphers at Bletchley Park during World War II.
  • A. Patricia Dainton
    Patricia Dainton was a British film and television actress known for her roles in 1950s and 1960s thrillers and dramas.
  • B. Liz Imbrie
    Liz Imbrie is a witty, sardonic magazine reporter who serves as a key supporting character and romantic foil in the musical film "High Society."
  • C. Anna M. Harkness
    Anna M. Harkness was an American philanthropist of the late 19th and early 20th centuries, best known for her substantial charitable contributions that helped establish major educational and medical institutions.
  • D. Margaret Rudman
    Margaret Rudman is known as the wife of the late U.S. Senator Warren Rudman of New Hampshire.
  • E. Patricia Cockburn
    Patricia Cockburn was a British writer and memoirist known for her work in journalism and her vivid accounts of life in literary and political circles.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd317e0819086e383f8e4583630 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaee8aa0819089994b85d56c7740 completed May 3, 2026, 6:27 a.m.
NEDg Description generation batch_69f6ef102fb08190b8a9646e5b45155c completed May 3, 2026, 6:45 a.m.
NED2 Entity disambiguation (via description) batch_69f6ef933f888190880e680f7f4c1c29 completed May 3, 2026, 6:47 a.m.
Created at: April 9, 2026, 9:11 p.m.