Triple

T9632172
Position Surface form Disambiguated ID Type / Status
Subject Susan Francia E232833 entity
Predicate givenName P17 FINISHED
Object Susan
Susan is the given name of Susan Francia, an American rower and two-time Olympic gold medalist.
 E812205 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 Francia, givenName, Susan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Susan
Context triple: [Susan Francia, 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 Francia, givenName, Susan]
Generated description
Susan is the given name of Susan Francia, an American rower and two-time Olympic gold medalist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Susan
Target entity description: Susan is the given name of Susan Francia, an American rower and two-time Olympic gold medalist.
  • A. Susan
    Susan is the given name of Susan B. Anthony, a leading American social reformer and key figure in the women’s suffrage movement.
  • B. 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.
  • C. 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.
  • D. Susan
    Susan is the given name of Susan Cunliffe-Lister, Dowager Countess of Swinton, a British aristocrat and public figure.
  • E. Susan
    Susan is a feminine given name of Hebrew origin meaning "lily" that has been widely used in English-speaking countries.
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b2783b48190a9929dc3e3cd2956 completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18232e34c8190a19685ee9210e88b completed April 4, 2026, 9:27 p.m.
NEDg Description generation batch_69d18324756c819089eb7edc107ed8b2 completed April 4, 2026, 9:31 p.m.
NED2 Entity disambiguation (via description) batch_69d1856b88908190a787765e1d8f001f completed April 4, 2026, 9:40 p.m.
Created at: March 30, 2026, 8:11 p.m.