Triple

T19562750
Position Surface form Disambiguated ID Type / Status
Subject Sara Hutchinson E489495 entity
Predicate familyName P18 FINISHED
Object Hutchinson 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: Hutchinson | Statement: [Sara Hutchinson, familyName, Hutchinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hutchinson
Context triple: [Sara 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. Hutchinson, Kansas
    Hutchinson, Kansas is a central Kansas city known for its salt mining history and as home to the Kansas State Fair and the Cosmosphere space museum.
  • D. Horton, Missouri
    Horton, Missouri is a small unincorporated community located in Vernon County in the western part of the U.S. state of Missouri.
  • E. 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.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f74fdb08190852461b5d5c954ac completed April 20, 2026, 3 p.m.
Created at: April 10, 2026, 1:42 p.m.