Triple

T17170295
Position Surface form Disambiguated ID Type / Status
Subject Margaret Mann Citation in Cataloging and Classification E416711 entity
Predicate namedAfter P63 FINISHED
Object Margaret Mann
Margaret Mann was a pioneering American librarian and educator renowned for her influential work in cataloging and classification standards.
 E1350384 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 Mann | Statement: [Margaret Mann Citation in Cataloging and Classification, namedAfter, Margaret Mann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Margaret Mann
Context triple: [Margaret Mann Citation in Cataloging and Classification, namedAfter, Margaret Mann]
  • A. Margaret Epple
    Margaret Epple was the wife of American actor Lyle Talbot, known for their long marriage and family life together.
  • B. Margaret Heidenry
    Margaret Heidenry is a screenwriter best known for her work on the animated Disney sequel "Cinderella III: A Twist in Time."
  • C. Margaret Rudkin
    Margaret Rudkin was an American businesswoman and food industry pioneer best known for building Pepperidge Farm from a home baking venture into a major commercial bakery brand.
  • D. Margaret Cox
    Margaret Cox is known as the daughter of British physicist and science communicator Brian Cox.
  • E. Margaret Rudman
    Margaret Rudman is known as the wife of the late U.S. Senator Warren Rudman of New Hampshire.
  • 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 Mann
Triple: [Margaret Mann Citation in Cataloging and Classification, namedAfter, Margaret Mann]
Generated description
Margaret Mann was a pioneering American librarian and educator renowned for her influential work in cataloging and classification standards.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Margaret Mann
Target entity description: Margaret Mann was a pioneering American librarian and educator renowned for her influential work in cataloging and classification standards.
  • A. Margaret Epple
    Margaret Epple was the wife of American actor Lyle Talbot, known for their long marriage and family life together.
  • B. Margaret Heidenry
    Margaret Heidenry is a screenwriter best known for her work on the animated Disney sequel "Cinderella III: A Twist in Time."
  • C. Margaret Rudkin
    Margaret Rudkin was an American businesswoman and food industry pioneer best known for building Pepperidge Farm from a home baking venture into a major commercial bakery brand.
  • D. Margaret Cox
    Margaret Cox is known as the daughter of British physicist and science communicator Brian Cox.
  • E. Margaret Rudman
    Margaret Rudman is known as the wife of the late U.S. Senator Warren Rudman of New Hampshire.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f91831d88190b262227fc41c9067 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a059fa3e4f4819098f1f7bc1f50f985 completed May 14, 2026, 10:10 a.m.
NEDg Description generation batch_6a05a17e171481908488cb40da91808b completed May 14, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_6a05a1f3b8908190b8295a25fff9daba completed May 14, 2026, 10:20 a.m.
Created at: April 10, 2026, 5:37 a.m.