Triple

T10069254
Position Surface form Disambiguated ID Type / Status
Subject Mary Hutchinson E213575 entity
Predicate familyName P18 FINISHED
Object Hutchinson E111904 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: Hutchinson | Statement: [Mary Hutchinson, familyName, Hutchinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hutchinson
Context triple: [Mary Hutchinson, familyName, Hutchinson]
  • A. Hutchinson chosen
    Hutchinson is a common English surname borne by numerous notable individuals across fields such as science, politics, and the arts.
  • B. Hutchinson
    Hutchinson is a long-established British publishing house known for producing a wide range of fiction and non-fiction titles.
  • C. Horton, Missouri
    Horton, Missouri is a small unincorporated community located in Vernon County in the western part of the U.S. state of Missouri.
  • D. Hays
    Hays is a surname most notably associated with Will H. Hays, the American politician and film industry figure behind the early Hollywood production code.
  • E. Hudson, Kansas
    Hudson, Kansas is a small rural city located in Stafford County in central Kansas, known for its agricultural surroundings and tight-knit community.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcff8d9c08190bc030f1dcc696310 completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a96fc888190aec7cd364a0d7fb1 completed April 5, 2026, 5:23 p.m.
Created at: March 30, 2026, 8:58 p.m.