Triple

T1264126
Position Surface form Disambiguated ID Type / Status
Subject Walt Whitman E12563 entity
Predicate familyName P18 FINISHED
Object Whitman E12563 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: Whitman | Statement: [Walt Whitman, familyName, Whitman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whitman
Context triple: [Walt Whitman, familyName, Whitman]
  • A. Walt Whitman chosen
    Walt Whitman was a pioneering 19th-century American poet and essayist best known for his groundbreaking poetry collection "Leaves of Grass," which profoundly influenced modern literature.
  • B. Edward Dickinson
    Edward Dickinson was a prominent 19th-century Amherst lawyer, politician, and civic leader best known as the father of poet Emily Dickinson.
  • C. Whittier
    Whittier is a suburban city in Los Angeles County, California, known for its historic downtown, Quaker roots, and as the namesake of Whittier College.
  • D. Dickinson
    Dickinson is a surname most famously associated with figures such as American poet Emily Dickinson and Founding Father John Dickinson.
  • E. Halleck
    Halleck is a surname most notably associated with American political and military figures, including U.S. Congressman Charles A. Halleck and Civil War general Henry Wager Halleck.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4c03573a48190b5851f0a734c2d6f completed March 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacb5b8888190aa969c0d8cc3fd0d completed March 7, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:50 p.m.