Triple

T9824100
Position Surface form Disambiguated ID Type / Status
Subject Harriet Smithson E238609 entity
Predicate givenName 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: [Harriet Smithson, givenName, Harriet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harriet
Context triple: [Harriet Smithson, givenName, 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. Harriet
    Harriet is a biographical drama film about the life and heroism of abolitionist Harriet Tubman.
  • C. Harriet
    Harriet is an American indie rock band known for its melodic songwriting and emotionally resonant lyrics.
  • D. Harriet
    Harriet is the tunnel boring machine that excavated the PortMiami Tunnel beneath Biscayne Bay in Miami, Florida.
  • E. 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.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb316f8948190ada3738787a5cb6a completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc810bac8190a5ff94c0717e7706 completed April 5, 2026, 2:44 a.m.
Created at: March 30, 2026, 8:31 p.m.