Triple

T871481
Position Surface form Disambiguated ID Type / Status
Subject The Shape of Things to Come E18822 entity
Predicate publisher P29 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: [The Shape of Things to Come, publisher, Hutchinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hutchinson
Context triple: [The Shape of Things to Come, publisher, 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. Shattuck, Oklahoma
    Shattuck, Oklahoma is a small town in northwestern Oklahoma known for its rural character and historic windmill park.
  • C. Kanesville
    Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
  • D. Hays, Kansas
    Hays, Kansas is a regional city in northwestern Kansas known as a commercial, educational, and medical hub, home to Fort Hays State University and rich frontier history.
  • E. Gardner, Kansas
    Gardner, Kansas is a small suburban city in Johnson County that forms part of the greater Kansas City metropolitan area.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac96850881908a2d776685126137 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac11931dc88190ac1cd0d0c68a151d completed March 7, 2026, 11:52 a.m.
Created at: March 1, 2026, 7:39 p.m.