Triple

T18867
Position Surface form Disambiguated ID Type / Status
Subject Wes Wise E372 entity
Predicate placeOfBirth P1 FINISHED
Object Shattuck, Oklahoma
Shattuck, Oklahoma is a small town in northwestern Oklahoma known for its rural character and historic windmill park.
 E6539 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: Shattuck, Oklahoma | Statement: [Wes Wise, placeOfBirth, Shattuck, Oklahoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shattuck, Oklahoma
Context triple: [Wes Wise, placeOfBirth, Shattuck, Oklahoma]
  • A. Kanesville
    Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
  • B. Abilene, Kansas, United States
    Abilene, Kansas, United States is a small Midwestern city best known as the boyhood home and final resting place of U.S. President Dwight D. Eisenhower and the site of his presidential library and museum.
  • C. Pella, Iowa
    Pella, Iowa is a small Midwestern city renowned for its strong Dutch heritage, traditional architecture, and annual tulip festival.
  • D. Delano
    Delano is the middle name of Franklin D. Roosevelt, the 32nd president of the United States.
  • 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: Shattuck, Oklahoma
Triple: [Wes Wise, placeOfBirth, Shattuck, Oklahoma]
Generated description
Shattuck, Oklahoma is a small town in northwestern Oklahoma known for its rural character and historic windmill park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shattuck, Oklahoma
Target entity description: Shattuck, Oklahoma is a small town in northwestern Oklahoma known for its rural character and historic windmill park.
  • A. Kanesville
    Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
  • B. Abilene, Kansas, United States
    Abilene, Kansas, United States is a small Midwestern city best known as the boyhood home and final resting place of U.S. President Dwight D. Eisenhower and the site of his presidential library and museum.
  • C. Pella, Iowa
    Pella, Iowa is a small Midwestern city renowned for its strong Dutch heritage, traditional architecture, and annual tulip festival.
  • D. Delano
    Delano is the middle name of Franklin D. Roosevelt, the 32nd president of the United States.
  • 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_69a240778d288190815c0052ebbbcc91 completed Feb. 28, 2026, 1:10 a.m.
NER Named-entity recognition batch_69a2465d9038819087f875a5afac9541 completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a25aaf595c8190b1f6b559f49efd7f completed Feb. 28, 2026, 3:02 a.m.
NEDg Description generation batch_69a25ba68f1081908f88d2bb2af35af6 completed Feb. 28, 2026, 3:06 a.m.
NED2 Entity disambiguation (via description) batch_69a25c4a5fa8819082a737e1f0251a8a completed Feb. 28, 2026, 3:08 a.m.
Created at: Feb. 28, 2026, 1:14 a.m.