Triple

T1662686
Position Surface form Disambiguated ID Type / Status
Subject Halesite, New York E35943 entity
Predicate hasMemorialTo P501 FINISHED
Object Nathan Hale E187388 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: Nathan Hale | Statement: [Halesite, New York, hasMemorialTo, Nathan Hale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathan Hale
Context triple: [Halesite, New York, hasMemorialTo, Nathan Hale]
  • A. Nathan Hale chosen
    Nathan Hale was an American Revolutionary War soldier and spy for the Continental Army who is remembered as a patriotic martyr after being executed by the British in 1776.
  • B. Nathaniel Lyon
    Nathaniel Lyon was a Union Army general in the American Civil War, notable as the first Union general killed in combat during the conflict.
  • C. William Dawes
    William Dawes was an architect known for his work on major British railway stations, including the design of Manchester Victoria.
  • D. William Dawes
    William Dawes was an American patriot best known for his midnight ride on April 18, 1775, alongside Paul Revere, to warn colonial militias of approaching British troops at the outset of the American Revolutionary War.
  • E. Herold
    Herold is a German-origin surname borne by various notable individuals across fields such as politics, sports, and the arts.
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90ab5d1a08190a3325ff203b573fb completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71adb0388190b358e83fa8dfaef5 completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:29 p.m.