Triple

T8316751
Position Surface form Disambiguated ID Type / Status
Subject Hangsaman E194723 entity
Predicate mainCharacter P1183 FINISHED
Object Natalie Waite
Natalie Waite is the introspective and psychologically troubled young woman who serves as the protagonist of Shirley Jackson’s novel "Hangsaman."
 E731742 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: Natalie Waite | Statement: [Hangsaman, mainCharacter, Natalie Waite]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Natalie Waite
Context triple: [Hangsaman, mainCharacter, Natalie Waite]
  • A. Natalie Kingston
    Natalie Kingston was an American film actress of the silent and early sound era, known for her roles in dramas and adventure films of the late 1920s.
  • B. Faye Medwick
    Faye Medwick is a fictional character appearing in the work titled "Chapter Two."
  • C. Natalie Evans
    Natalie Evans was the wife of Pulitzer Prize–winning American editorial cartoonist Bill Mauldin.
  • D. Emily Charlton
    Emily Charlton is the ambitious, fashion-obsessed first assistant to Miranda Priestly in "The Devil Wears Prada," known for her sharp wit and cutting remarks.
  • E. Natalie Lawson
    Natalie Lawson is a fictional character portrayed by Canadian actress Torri Higginson, best known from her work in television drama.
  • 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: Natalie Waite
Triple: [Hangsaman, mainCharacter, Natalie Waite]
Generated description
Natalie Waite is the introspective and psychologically troubled young woman who serves as the protagonist of Shirley Jackson’s novel "Hangsaman."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Natalie Waite
Target entity description: Natalie Waite is the introspective and psychologically troubled young woman who serves as the protagonist of Shirley Jackson’s novel "Hangsaman."
  • A. Natalie Kingston
    Natalie Kingston was an American film actress of the silent and early sound era, known for her roles in dramas and adventure films of the late 1920s.
  • B. Faye Medwick
    Faye Medwick is a fictional character appearing in the work titled "Chapter Two."
  • C. Natalie Evans
    Natalie Evans was the wife of Pulitzer Prize–winning American editorial cartoonist Bill Mauldin.
  • D. Emily Charlton
    Emily Charlton is the ambitious, fashion-obsessed first assistant to Miranda Priestly in "The Devil Wears Prada," known for her sharp wit and cutting remarks.
  • E. Natalie Lawson
    Natalie Lawson is a fictional character portrayed by Canadian actress Torri Higginson, best known from her work in television drama.
  • 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_69ca82e6e2648190a31eaf6f4f757b2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f557a7881908adcf353f7297848 completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce0278b9a88190a57a6b1b31c39ee8 completed April 2, 2026, 5:45 a.m.
NEDg Description generation batch_69ce064211e48190b558d4355be659ba completed April 2, 2026, 6:01 a.m.
NED2 Entity disambiguation (via description) batch_69ce07a390048190ac26a7e3d3d561e0 completed April 2, 2026, 6:07 a.m.
Created at: March 30, 2026, 5:55 p.m.