Triple

T21965679
Position Surface form Disambiguated ID Type / Status
Subject Thomas Chapman E542449 entity
Predicate familyName P18 FINISHED
Object Chapman NE NERFINISHED

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: [Thomas Chapman, familyName, Chapman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chapman
Context triple: [Thomas 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. Af Chapman
    Af Chapman is a historic full-rigged steel ship in Stockholm that now serves as a popular hostel and notable waterfront landmark.
  • D. Charleson
    Charleson is a Scottish surname most notably associated with actor Ian Charleson, known for his role in the film "Chariots of Fire."
  • E. Cal Chapman
    Cal Chapman is a recurring character in the television series "Orange Is the New Black," known as the eccentric and supportive brother of main character Piper Chapman.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1245aabf88190a44564e6eaaa94ce completed April 28, 2026, 9:19 p.m.
Created at: April 16, 2026, 8:01 p.m.