Triple

T1842832
Position Surface form Disambiguated ID Type / Status
Subject The Rise of Silas Lapham E41213 entity
Predicate protagonist P268 FINISHED
Object Silas Lapham E205999 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: Silas Lapham | Statement: [The Rise of Silas Lapham, protagonist, Silas Lapham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silas Lapham
Context triple: [The Rise of Silas Lapham, protagonist, Silas Lapham]
  • A. Silas Lapham chosen
    Silas Lapham is a self-made American paint magnate whose moral and social struggles in Gilded Age Boston form the center of William Dean Howells’s realist novel.
  • B. Silas Phelps
    Silas Phelps is a kindly but morally conflicted Southern farmer and slave owner who appears as Tom Sawyer’s uncle in Mark Twain’s novel "Adventures of Huckleberry Finn."
  • C. William Wilson
    William Wilson was a Scottish artist renowned for his stained glass, printmaking, and architectural sculpture in the mid-20th century.
  • D. Elias Loomis
    Elias Loomis was a 19th-century American mathematician and physicist known for his work in astronomy, meteorology, and mathematical education.
  • E. Henry Schultz
    Henry Schultz was an American economist and early pioneer of econometrics, known for his influential work on demand analysis and for helping establish econometrics as a rigorous quantitative discipline.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb04eb0748190b226f932e544925f completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1c482908190b940497fc5d5db60 completed March 8, 2026, 7:45 p.m.
Created at: March 4, 2026, 7:33 p.m.