Triple

T7593855
Position Surface form Disambiguated ID Type / Status
Subject Reap the Wild Wind E179805 entity
Predicate basedOnWorkAuthor P2806 FINISHED
Object Thelma Strabel
Thelma Strabel was an American novelist best known for writing the adventure-romance story that became the basis for the film "Reap the Wild Wind."
 E674726 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: Thelma Strabel | Statement: [Reap the Wild Wind, basedOnWorkAuthor, Thelma Strabel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thelma Strabel
Context triple: [Reap the Wild Wind, basedOnWorkAuthor, Thelma Strabel]
  • A. Thelma Schwartz
    Thelma Schwartz was the wife of notorious American organized crime figure Meyer Lansky.
  • B. Elisabeth Vietz
    Elisabeth Vietz was the mother of Austrian composer Franz Schubert, playing a formative role in his early family life and upbringing.
  • C. Doris Sattler
    Doris Sattler is a person notable enough to be recognized as a significant bearer of the surname Sattler.
  • D. Marcella Brenner
    Marcella Brenner was an American arts educator and philanthropist known for her support of the arts and her connection to the Washington, D.C. cultural community.
  • E. Marie Stark
    Marie Stark was the wife of British-born American film director and actor Donald Crisp, known for her connection to the early Hollywood film industry.
  • 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: Thelma Strabel
Triple: [Reap the Wild Wind, basedOnWorkAuthor, Thelma Strabel]
Generated description
Thelma Strabel was an American novelist best known for writing the adventure-romance story that became the basis for the film "Reap the Wild Wind."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thelma Strabel
Target entity description: Thelma Strabel was an American novelist best known for writing the adventure-romance story that became the basis for the film "Reap the Wild Wind."
  • A. Thelma Schwartz
    Thelma Schwartz was the wife of notorious American organized crime figure Meyer Lansky.
  • B. Elisabeth Vietz
    Elisabeth Vietz was the mother of Austrian composer Franz Schubert, playing a formative role in his early family life and upbringing.
  • C. Doris Sattler
    Doris Sattler is a person notable enough to be recognized as a significant bearer of the surname Sattler.
  • D. Marcella Brenner
    Marcella Brenner was an American arts educator and philanthropist known for her support of the arts and her connection to the Washington, D.C. cultural community.
  • E. Marie Stark
    Marie Stark was the wife of British-born American film director and actor Donald Crisp, known for her connection to the early Hollywood film industry.
  • 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9bab3a08190a2c36b2c72a1de25 completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86197fe0881908307a411cabdca7f completed March 28, 2026, 11:17 p.m.
NEDg Description generation batch_69c86223bfec8190b47f840e39c9a51a completed March 28, 2026, 11:20 p.m.
NED2 Entity disambiguation (via description) batch_69c862bb95e881909a60608a5279238d completed March 28, 2026, 11:22 p.m.
Created at: March 27, 2026, 3:53 p.m.