Triple

T6361615
Position Surface form Disambiguated ID Type / Status
Subject Poor Folk E143121 entity
Predicate hasTranslation P2303 FINISHED
Object Poor People E143121 NE FINISHED

How this triple was built (2 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: Poor People | Statement: [Poor Folk, hasTranslation, Poor People]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poor People
Context triple: [Poor Folk, hasTranslation, Poor People]
  • A. Poor People
    Poor People is a nonfiction book by William T. Vollmann that examines global poverty through on-the-ground interviews, reportage, and philosophical reflection.
  • B. Poor Folk chosen
    Poor Folk is Fyodor Dostoevsky’s debut epistolary novel that portrays the struggles and inner lives of impoverished clerks in 19th-century St. Petersburg.
  • C. Down and Out
    "Down and Out" is a popular hip-hop track by rapper Cam'ron, known for its soulful production and standout status in his discography.
  • D. No Name in the Street
    No Name in the Street is James Baldwin’s 1972 autobiographical and political essay collection reflecting on race, civil rights, and his personal experiences in mid-20th-century America.
  • E. Beggar Woman
    The Beggar Woman is a mysterious, mentally unstable street figure in the musical "Sweeney Todd," whose tragic backstory and true identity are central to the story’s dark revelations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067fa0d0c819098d01545849142fc completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d6d906481908b5883bff18ceec8 completed March 27, 2026, 7:10 a.m.
Created at: March 22, 2026, 4:32 p.m.