Triple

T377696
Position Surface form Disambiguated ID Type / Status
Subject Florence Pugh E8606 entity
Predicate appearsIn P795 FINISHED
Object Little Women
Little Women is a classic coming-of-age novel by Louisa May Alcott that follows the lives, struggles, and growth of the four March sisters during and after the American Civil War.
 E47453 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 | Statement: [Florence Pugh, appearsIn, Little Women]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Little Women
Context triple: [Florence Pugh, appearsIn, Little Women]
  • A. Little Women
    Little Women is a classic coming-of-age novel by Louisa May Alcott that follows the lives, struggles, and personal growth of the four March sisters during and after the American Civil War.
  • B. Shirley
    Shirley is the given name of Shirley Ann Jackson, a prominent American physicist and trailblazing academic leader.
  • C. Shirley
    Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
  • D. Shirley
    Shirley is an English surname of Old English origin that has also become a common given name.
  • E. Harriet
    Harriet is the given name of Harriet Beecher Stowe, the 19th-century American author best known for writing the anti-slavery novel "Uncle Tom's Cabin."
  • 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
Triple: [Florence Pugh, appearsIn, Little Women]
Generated description
Little Women is a classic coming-of-age novel by Louisa May Alcott that follows the lives, struggles, and growth of the four March sisters during and after the American Civil War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Little Women
Target entity description: Little Women is a classic coming-of-age novel by Louisa May Alcott that follows the lives, struggles, and growth of the four March sisters during and after the American Civil War.
  • A. Little Women chosen
    Little Women is a classic coming-of-age novel by Louisa May Alcott that follows the lives, struggles, and personal growth of the four March sisters during and after the American Civil War.
  • B. Shirley
    Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
  • C. Shirley
    Shirley is the given name of Shirley Ann Jackson, a prominent American physicist and trailblazing academic leader.
  • D. Shirley
    Shirley is an English surname of Old English origin that has also become a common given name.
  • E. Harriet
    Harriet is the given name of Harriet Beecher Stowe, the 19th-century American author best known for writing the anti-slavery novel "Uncle Tom's Cabin."
  • F. None of above.

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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec1804108190a1e94526b71289ea completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3fafca1dc8190ba8f1cdec0ba337d completed March 1, 2026, 8:38 a.m.
NEDg Description generation batch_69a3fb9968ec819088e3832b1902349e completed March 1, 2026, 8:40 a.m.
NED2 Entity disambiguation (via description) batch_69a3fbba4e0c8190858aeab66332490d completed March 1, 2026, 8:41 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.