Triple

T22655583
Position Surface form Disambiguated ID Type / Status
Subject Susan Stroman E559216 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 Stroman, givenName, Susan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan
Context triple: [Susan Stroman, 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 one of the central child protagonists in Alan Garner’s fantasy novel "The Weirdstone of Brisingamen," who becomes embroiled in a magical struggle in rural Cheshire.
  • C. Susan
    "Susan" is a character from the 1985 film "Desperately Seeking Susan," in which Rosanna Arquette starred alongside Madonna.
  • D. Susan
    Susan is an alias used by the character Gretchen Morgan in the television series "Prison Break."
  • E. Susan
    Susan is a fictional character from the coming-of-age drama novel and film "The Green Years."
  • 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 Stroman, 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 Susan Francia, an American rower and two-time Olympic gold medalist.
  • D. Susan
    Susan is the birth name of Siouxsie Sioux, the influential English singer and frontwoman of the post-punk band Siouxsie and the Banshees.
  • E. Susan
    Susan is the given first name of American political activist and cofounder of Code Pink, Medea Benjamin.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765b93dc8190a0357dd4b6ae524a completed April 29, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b586ad7e88190a2151f296cb52be8 completed May 18, 2026, 6:20 p.m.
NEDg Description generation batch_6a0b6f5f8bd08190b325b9dd91e199e1 completed May 18, 2026, 7:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0b7044c94c81909a43b04f40af2a15 completed May 18, 2026, 8:02 p.m.
Created at: April 17, 2026, 3:06 p.m.