Triple

T2529405
Position Surface form Disambiguated ID Type / Status
Subject Jean Acker E56118 entity
Predicate hasGivenName P17 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: [Jean Acker, hasGivenName, Harriet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harriet
Context triple: [Jean Acker, hasGivenName, 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 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.
  • E. Shirley
    Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
  • 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_69ab4a48e4f081908f1218d244608659 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd25903f08190b46e12d32278daca completed March 7, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2bb6bb608190845706f1a675ad1c completed March 9, 2026, 8:21 p.m.
Created at: March 6, 2026, 9:46 p.m.