Triple

T9402857
Position Surface form Disambiguated ID Type / Status
Subject Susan Athey E226517 entity
Predicate givenName P17 FINISHED
Object Susan
Susan is a feminine given name of Hebrew origin meaning "lily" that has been widely used in English-speaking countries.
E559215 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 | Statement: [Susan Athey, givenName, Susan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan
Context triple: [Susan Athey, givenName, Susan]
  • A. Susan
    Susan is the birth name of American actress Sigourney Weaver, renowned for her iconic roles in science fiction and horror films such as the Alien franchise.
  • B. Susan
    Susan is the given name of American painter and photographer Susan Macdowell Eakins, known for her portraits and still lifes.
  • C. Susan
    Susan is the given name of the American writer, filmmaker, and political activist Susan Sontag, renowned for her influential essays on culture and aesthetics.
  • D. Susan
    Susan is the birth name of Suzy Amis Cameron, an American actress-turned-environmental advocate and author.
  • E. Susan
    Susan is the given name of Susan Cunliffe-Lister, Dowager Countess of Swinton, a British aristocrat and public figure.
  • 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
Triple: [Susan Athey, givenName, Susan]
Generated description
Susan is a feminine given name of Hebrew origin meaning "lily" that has been widely used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Susan
Target entity description: Susan is a feminine given name of Hebrew origin meaning "lily" that has been widely used in English-speaking countries.
  • A. Susan chosen
    Susan is a feminine given name of Hebrew origin meaning "lily" that has been widely used in English-speaking countries.
  • B. Susan
    Susan is the given name of Susan B. Anthony, a leading American social reformer and key figure in the women’s suffrage movement.
  • C. Susan
    Susan is the given name of the American writer, filmmaker, and political activist Susan Sontag, renowned for her influential essays on culture and aesthetics.
  • D. Susan
    Susan is the given name of American actress Susan Kelechi Watson, known for her role as Beth Pearson on the television series "This Is Us."
  • E. Susan
    Susan is the birth name of American actress Sigourney Weaver, renowned for her iconic roles in science fiction and horror films such as the Alien franchise.
  • F. None of above.

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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51be35cc8190bafad423a142c305 completed April 1, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1012ca6c0819098c427233d226dd2 completed April 4, 2026, 12:16 p.m.
NEDg Description generation batch_69d101bf84548190a28e5f24aff265b1 completed April 4, 2026, 12:19 p.m.
NED2 Entity disambiguation (via description) batch_69d1025ebf5c8190914b682117b01827 completed April 4, 2026, 12:21 p.m.
Created at: March 30, 2026, 7:46 p.m.