Triple

T837725
Position Surface form Disambiguated ID Type / Status
Subject John W. Henry E18107 entity
Predicate familyName P18 FINISHED
Object Henry
Henry is a common English surname borne by numerous notable individuals across politics, sports, and the arts.
E221748 NE FINISHED

How this triple was built (4 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: Henry | Statement: [John W. Henry, familyName, Henry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry
Context triple: [John W. Henry, familyName, Henry]
  • A. Henry
    Henry is the given name of Henry A. Kissinger, the influential American diplomat and political scientist who served as U.S. Secretary of State and National Security Advisor.
  • B. Henry
    Henry is the given name of the influential American architect Henry Hobson Richardson, a key figure in 19th-century architecture.
  • C. Henry
    Henry is the given first name of Hank Steinbrenner, a late co-owner and general partner of the New York Yankees baseball team.
  • D. George
    George is a town in South Africa’s Western Cape province, known as a gateway to the Garden Route and for its scenic mountains and forests.
  • E. George
    George is the first name of George Washington, the first President of the United States and a key leader in the American Revolutionary War.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Henry
Triple: [John W. Henry, familyName, Henry]
Generated description
Henry is a common English surname borne by numerous notable individuals across politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Henry
Target entity description: Henry is a common English surname borne by numerous notable individuals across politics, sports, and the arts.
  • A. Henry
    Henry is the given name of Henry A. Kissinger, the influential American diplomat and political scientist who served as U.S. Secretary of State and National Security Advisor.
  • B. Henry
    Henry is the given first name of Hank Steinbrenner, a late co-owner and general partner of the New York Yankees baseball team.
  • C. Henry
    Henry is the given name of the influential American architect Henry Hobson Richardson, a key figure in 19th-century architecture.
  • D. George
    George is a town in South Africa’s Western Cape province, known as a gateway to the Garden Route and for its scenic mountains and forests.
  • E. George
    George is the first name of George Washington, the first President of the United States and a key leader in the American Revolutionary War.
  • F. None of above. chosen

Provenance (5 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_69a49389f44881909a608fb27d89f247 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abd0e8bc8190afe29cd4745c2f86 completed March 1, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae02eda1048190b5452b849315863f completed March 8, 2026, 11:14 p.m.
NEDg Description generation batch_69ae0386785c8190ae74e5f04a4809fc completed March 8, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_69ae04253a80819092c112faddec1de1 completed March 8, 2026, 11:20 p.m.
Created at: March 1, 2026, 7:38 p.m.