Triple

T6715249
Position Surface form Disambiguated ID Type / Status
Subject Kasi Lemmons E153250 entity
Predicate notableWork P4 FINISHED
Object Harriet E545946 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: [Kasi Lemmons, notableWork, Harriet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harriet
Context triple: [Kasi Lemmons, notableWork, Harriet]
  • A. 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."
  • B. Harriet chosen
    Harriet is a biographical drama film about the life and heroism of abolitionist Harriet Tubman.
  • C. 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.
  • D. The Underground Railroad
    The Underground Railroad was a hip-hop production collective known for crafting gritty, sample-heavy beats for early 1990s West Coast rap artists.
  • E. 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.
  • 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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1246b748190aed94e8ab8625f7e completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70096e05c8190abfa90996db37eeb completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:07 p.m.