Triple

T10919257
Position Surface form Disambiguated ID Type / Status
Subject Good Wives E257901 entity
Predicate hasAdaptation P1690 FINISHED
Object Little Women (film adaptations including Good Wives material)
Little Women (film adaptations including Good Wives material) refers to screen versions of Louisa May Alcott’s classic novel that combine the original Little Women story with its sequel Good Wives, following the March sisters from adolescence into adulthood.
E893840 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: Little Women (film adaptations including Good Wives material) | Statement: [Good Wives, hasAdaptation, Little Women (film adaptations including Good Wives material)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Women (film adaptations including Good Wives material)
Context triple: [Good Wives, hasAdaptation, Little Women (film adaptations including Good Wives material)]
  • A. Little Women (1949 film)
    Little Women (1949 film) is a Technicolor adaptation of Louisa May Alcott’s classic novel, featuring June Allyson and Peter Lawford in a sentimental retelling of the March sisters’ coming-of-age story.
  • B. Little Women series
    The Little Women series is a collection of novels by Louisa May Alcott that follows the lives, growth, and relationships of the March sisters in 19th-century New England.
  • C. Little Women (1994 film)
    Little Women (1994 film) is a 1994 period drama adaptation of Louisa May Alcott’s classic novel, acclaimed for its ensemble cast and sensitive direction by Gillian Armstrong.
  • D. Little Women (1933 film)
    Little Women (1933 film) is a classic Hollywood adaptation of Louisa May Alcott’s novel, best known for its portrayal of the March sisters and an acclaimed performance by Katharine Hepburn as Jo.
  • E. Little Women (2019 film)
    Little Women (2019 film) is a critically acclaimed period drama adaptation of Louisa May Alcott’s novel, written and directed by Greta Gerwig and noted for its nonlinear storytelling and strong ensemble cast.
  • 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: Little Women (film adaptations including Good Wives material)
Triple: [Good Wives, hasAdaptation, Little Women (film adaptations including Good Wives material)]
Generated description
Little Women (film adaptations including Good Wives material) refers to screen versions of Louisa May Alcott’s classic novel that combine the original Little Women story with its sequel Good Wives, following the March sisters from adolescence into adulthood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Little Women (film adaptations including Good Wives material)
Target entity description: Little Women (film adaptations including Good Wives material) refers to screen versions of Louisa May Alcott’s classic novel that combine the original Little Women story with its sequel Good Wives, following the March sisters from adolescence into adulthood.
  • A. Little Women (1949 film)
    Little Women (1949 film) is a Technicolor adaptation of Louisa May Alcott’s classic novel, featuring June Allyson and Peter Lawford in a sentimental retelling of the March sisters’ coming-of-age story.
  • B. Little Women series
    The Little Women series is a collection of novels by Louisa May Alcott that follows the lives, growth, and relationships of the March sisters in 19th-century New England.
  • C. Little Women (1994 film)
    Little Women (1994 film) is a 1994 period drama adaptation of Louisa May Alcott’s classic novel, acclaimed for its ensemble cast and sensitive direction by Gillian Armstrong.
  • D. Little Women (1933 film)
    Little Women (1933 film) is a classic Hollywood adaptation of Louisa May Alcott’s novel, best known for its portrayal of the March sisters and an acclaimed performance by Katharine Hepburn as Jo.
  • E. Little Women (2019 film)
    Little Women (2019 film) is a critically acclaimed period drama adaptation of Louisa May Alcott’s novel, written and directed by Greta Gerwig and noted for its nonlinear storytelling and strong ensemble cast.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77080317881909fc50ac3576cefa8 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2171adbbc8190916a5463b6e5c186 completed April 17, 2026, 11:18 a.m.
NEDg Description generation batch_69e21d8a2e6881909b33cbe4ab919315 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e21eaa1e9881909f3b276e0ff0c511 completed April 17, 2026, 11:51 a.m.
Created at: April 8, 2026, 9:22 p.m.