Triple

T10728750
Position Surface form Disambiguated ID Type / Status
Subject Peter H. Raven E253017 entity
Predicate coAuthor P398 FINISHED
Object Susan E. Eichhorn
Susan E. Eichhorn is a researcher and scientific author known for coauthoring scholarly work with prominent botanist Peter H. Raven.
E925019 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: Susan E. Eichhorn | Statement: [Peter H. Raven, coAuthor, Susan E. Eichhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan E. Eichhorn
Context triple: [Peter H. Raven, coAuthor, Susan E. Eichhorn]
  • A. Elizabeth J. Feinler
    Elizabeth J. Feinler is an American information scientist best known for leading early internet directory and naming services, including managing the first WHOIS and domain name registries.
  • B. Peggy Eisenhauer
    Peggy Eisenhauer is a renowned American lighting designer known for her acclaimed work on Broadway productions and collaborations with top theater artists.
  • C. Susan A. Houghton
    Susan A. Houghton was the wife of American inventor Elisha Otis, known for his development of the safety elevator.
  • D. Donna Ehlert
    Donna Ehlert is best known as the first wife of American comedic actor Harvey Korman.
  • E. Barbara Heinzen
    Barbara Heinzen was the wife of William Colby, the former Director of Central Intelligence of the United States.
  • 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: Susan E. Eichhorn
Triple: [Peter H. Raven, coAuthor, Susan E. Eichhorn]
Generated description
Susan E. Eichhorn is a researcher and scientific author known for coauthoring scholarly work with prominent botanist Peter H. Raven.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Susan E. Eichhorn
Target entity description: Susan E. Eichhorn is a researcher and scientific author known for coauthoring scholarly work with prominent botanist Peter H. Raven.
  • A. Elizabeth J. Feinler
    Elizabeth J. Feinler is an American information scientist best known for leading early internet directory and naming services, including managing the first WHOIS and domain name registries.
  • B. Peggy Eisenhauer
    Peggy Eisenhauer is a renowned American lighting designer known for her acclaimed work on Broadway productions and collaborations with top theater artists.
  • C. Susan A. Houghton
    Susan A. Houghton was the wife of American inventor Elisha Otis, known for his development of the safety elevator.
  • D. Donna Ehlert
    Donna Ehlert is best known as the first wife of American comedic actor Harvey Korman.
  • E. Barbara Heinzen
    Barbara Heinzen was the wife of William Colby, the former Director of Central Intelligence of 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70fc92a18819089cc67afee1c9b96 completed April 9, 2026, 2:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69e5b744b534819095b272ba8943f7b7 completed April 20, 2026, 5:19 a.m.
NEDg Description generation batch_69e5c289b5ac81909bdaec61a66f6654 completed April 20, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69e5c43f4b4c8190aeae600364d2e4ac completed April 20, 2026, 6:14 a.m.
Created at: April 8, 2026, 9:14 p.m.