Triple

T3249531
Position Surface form Disambiguated ID Type / Status
Subject Theodore Dreiser E68141 entity
Predicate spouse P13 FINISHED
Object Sara White
Sara White was the wife of American novelist and journalist Theodore Dreiser.
E350737 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: Sara White | Statement: [Theodore Dreiser, spouse, Sara White]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sara White
Context triple: [Theodore Dreiser, spouse, Sara White]
  • A. Sara Whitaker
    Sara Whitaker is a supporting character in the comedy film "Daddy's Home 2," involved in the blended-family holiday chaos central to the movie's plot.
  • B. Sara Henry
    Sara Henry is known as the wife of American voice actor and comedian Mike Henry, recognized for his work on shows like Family Guy.
  • C. Sara Allgood
    Sara Allgood was an Irish stage and film actress known for her character roles in early 20th-century theatre and classic Hollywood cinema.
  • D. Annalee Whitmore
    Annalee Whitmore is a screenwriter known for her work on the classic musical film "Babes in Arms."
  • E. Sara Williams
    Sara Williams is a sibling of American actress Michelle Williams, known primarily for her family connection to the Oscar-nominated performer.
  • 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: Sara White
Triple: [Theodore Dreiser, spouse, Sara White]
Generated description
Sara White was the wife of American novelist and journalist Theodore Dreiser.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sara White
Target entity description: Sara White was the wife of American novelist and journalist Theodore Dreiser.
  • A. Sara Whitaker
    Sara Whitaker is a supporting character in the comedy film "Daddy's Home 2," involved in the blended-family holiday chaos central to the movie's plot.
  • B. Sara Henry
    Sara Henry is known as the wife of American voice actor and comedian Mike Henry, recognized for his work on shows like Family Guy.
  • C. Sara Allgood
    Sara Allgood was an Irish stage and film actress known for her character roles in early 20th-century theatre and classic Hollywood cinema.
  • D. Annalee Whitmore
    Annalee Whitmore is a screenwriter known for her work on the classic musical film "Babes in Arms."
  • E. Sara Williams
    Sara Williams is a sibling of American actress Michelle Williams, known primarily for her family connection to the Oscar-nominated performer.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf3fc3c8819080ac95974581ca0e completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b324f1baec8190b076b65fd7e4be2a completed March 12, 2026, 8:41 p.m.
NEDg Description generation batch_69b326620f048190b429ff62d037516c completed March 12, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_69b326fadb388190981f38a083805ee5 completed March 12, 2026, 8:50 p.m.
Created at: March 8, 2026, 3:09 p.m.