Triple

T53873
Position Surface form Disambiguated ID Type / Status
Subject Harriet Beecher Stowe E1062 entity
Predicate familyName P18 FINISHED
Object Beecher
Beecher is the surname of a prominent American family best known for members like author and abolitionist Harriet Beecher Stowe.
 E6316 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: Beecher | Statement: [Harriet Beecher Stowe, familyName, Beecher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beecher
Context triple: [Harriet Beecher Stowe, familyName, Beecher]
  • A. McClintock
    McClintock is a surname most notably associated with Barbara McClintock, the pioneering American cytogeneticist and Nobel Prize laureate recognized for her discovery of genetic transposition.
  • B. Garner
    Garner is a surname most notably associated with John Nance Garner, the 32nd vice president of the United States under Franklin D. Roosevelt.
  • C. The Quaker
    The Quaker is the traditional, colonial-era–styled mascot representing the University of Pennsylvania and its athletic teams.
  • D. Franklin
    Franklin is the given name of Franklin D. Roosevelt, the 32nd president of the United States who led the country through the Great Depression and World War II.
  • E. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • 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: Beecher
Triple: [Harriet Beecher Stowe, familyName, Beecher]
Generated description
Beecher is the surname of a prominent American family best known for members like author and abolitionist Harriet Beecher Stowe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beecher
Target entity description: Beecher is the surname of a prominent American family best known for members like author and abolitionist Harriet Beecher Stowe.
  • A. McClintock
    McClintock is a surname most notably associated with Barbara McClintock, the pioneering American cytogeneticist and Nobel Prize laureate recognized for her discovery of genetic transposition.
  • B. Garner
    Garner is a surname most notably associated with John Nance Garner, the 32nd vice president of the United States under Franklin D. Roosevelt.
  • C. The Quaker
    The Quaker is the traditional, colonial-era–styled mascot representing the University of Pennsylvania and its athletic teams.
  • D. Franklin
    Franklin is the given name of Franklin D. Roosevelt, the 32nd president of the United States who led the country through the Great Depression and World War II.
  • E. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24b04ef708190876686da9db1f04d completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a25ab66dd0819081443ebc4702d3b0 completed Feb. 28, 2026, 3:02 a.m.
NEDg Description generation batch_69a25ba79ab881909fa4570aa2acf402 completed Feb. 28, 2026, 3:06 a.m.
NED2 Entity disambiguation (via description) batch_69a25c28192081909853f2833f1472ef completed Feb. 28, 2026, 3:08 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.