Triple

T3662479
Position Surface form Disambiguated ID Type / Status
Subject Henrietta E77681 entity
Predicate hasVariant P455 FINISHED
Object Harriet E8574 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: Harriet | Statement: [Henrietta, hasVariant, Harriet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harriet
Context triple: [Henrietta, hasVariant, Harriet]
  • A. Harriet chosen
    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."
  • B. Uncle Tom's Cabin
    Uncle Tom's Cabin is an 1852 anti-slavery novel that powerfully influenced public opinion in the United States and abroad in the years leading up to the American Civil War.
  • C. The Underground Railroad
    The Underground Railroad is a historical drama television series, based on Colson Whitehead’s Pulitzer Prize–winning novel, that reimagines the network that helped enslaved people escape as a literal subterranean train system.
  • D. Shirley
    Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
  • E. Shirley
    "Shirley" is a social and political novel by Charlotte Brontë set during the industrial unrest of early 19th-century England, exploring themes of class conflict, gender roles, and economic hardship.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3fcd910819082012b10b23860aa completed March 8, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48846af9881909d71d63b8bd8d141 completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:25 p.m.