Triple

T14523334
Position Surface form Disambiguated ID Type / Status
Subject Rosanna Arquette E340706 entity
Predicate notableWork P4 FINISHED
Object Susan
"Susan" is a character from the 1985 film "Desperately Seeking Susan," in which Rosanna Arquette starred alongside Madonna.
 E1104534 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: [Rosanna Arquette, notableWork, Susan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Susan
Context triple: [Rosanna Arquette, notableWork, Susan]
  • A. Susan
    Susan is a friendly human character on Sesame Street who often interacts warmly with Big Bird and the other residents of the neighborhood.
  • B. 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.
  • C. Susan
    Susan is a supporting character in the "Nosedive" episode of the anthology television series Black Mirror.
  • D. Susan
    Susan is a feminine given name of Hebrew origin meaning "lily" that has been widely used in English-speaking countries.
  • E. Susan
    Susan is the given name of American painter and photographer Susan Macdowell Eakins, known for her portraits and still lifes.
  • 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: [Rosanna Arquette, notableWork, Susan]
Generated description
"Susan" is a character from the 1985 film "Desperately Seeking Susan," in which Rosanna Arquette starred alongside Madonna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Susan
Target entity description: "Susan" is a character from the 1985 film "Desperately Seeking Susan," in which Rosanna Arquette starred alongside Madonna.
  • A. Susan
    Susan is a central female character in the 1971 film "Carnal Knowledge," representing one of the key romantic relationships that shape the protagonists’ emotional lives.
  • B. 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.
  • C. Susan
    Susan is a minor supporting character in the comedy film "Talladega Nights: The Ballad of Ricky Bobby."
  • D. Susan
    Susan is the birth name of American actress Tuesday Weld, known for her work in film and television from the 1950s onward.
  • E. Susan
    Susan is the given name of American actress ZaSu Pitts, a prominent comedic and dramatic film star of the silent and early sound eras.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea04f16f88190ba357b0f8021b46b completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a50324481909713bbf68295e839 completed May 8, 2026, 5:53 a.m.
NEDg Description generation batch_69fd7c52e0bc8190b8c4b270653e65df completed May 8, 2026, 6:01 a.m.
NED2 Entity disambiguation (via description) batch_69fd7cf3088c8190a3bf53c9599f0304 completed May 8, 2026, 6:04 a.m.
Created at: April 10, 2026, 1:22 a.m.