Triple

T13039806
Position Surface form Disambiguated ID Type / Status
Subject Maria Weston Chapman E327162 entity
Predicate familyName P18 FINISHED
Object Chapman E72439 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: Chapman | Statement: [Maria Weston Chapman, familyName, Chapman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chapman
Context triple: [Maria Weston Chapman, familyName, Chapman]
  • A. Chapman chosen
    Chapman is a surname most famously associated with Graham Chapman, a British comedian, writer, and member of the Monty Python comedy group.
  • B. Chapman
    Chapman is a small city in Dickinson County, Kansas, known for its rural Midwestern character and tight-knit community.
  • C. Charleson
    Charleson is a Scottish surname most notably associated with actor Ian Charleson, known for his role in the film "Chariots of Fire."
  • D. Champ
    Champ is a supporting character in the action-spy film "Kingsman: The Golden Circle," serving as a high-ranking member of the American Statesman organization.
  • E. Champ
    Champ is the nickname of Champ Clark, an influential early 20th-century American Democratic politician who served as Speaker of the U.S. House of Representatives.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9804d8e3081909584c93df099859a completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbd2f6a481909fdd418e7ad3cc22 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:55 p.m.