Triple

T9205776
Position Surface form Disambiguated ID Type / Status
Subject Riley County, Kansas E220974 entity
Predicate namedAfter P63 FINISHED
Object Amos Riley
Amos Riley was an individual significant enough in local history that Riley County, Kansas, was named in his honor.
E785864 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: Amos Riley | Statement: [Riley County, Kansas, namedAfter, Amos Riley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amos Riley
Context triple: [Riley County, Kansas, namedAfter, Amos Riley]
  • A. Joseph Ashburn
    Joseph Ashburn was the second husband of American upholsterer Betsy Ross, who is widely associated with sewing the first United States flag.
  • B. Pelham Humfrey
    Pelham Humfrey was a 17th-century English composer and singer, known for his influential sacred music and as an early master in the Restoration-era Chapel Royal.
  • C. Biff Elliot
    Biff Elliot was an American actor best known for his tough-guy roles in film and television during the mid-20th century.
  • D. Ralph Burns
    Ralph Burns was an American jazz pianist, composer, and arranger renowned for his influential big band work and acclaimed film scores.
  • E. Amos Vernon
    Amos Vernon is a screenwriter and comedian known for co-writing the animated film "Hotel Transylvania: Transformania" and contributing to various comedy projects.
  • 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: Amos Riley
Triple: [Riley County, Kansas, namedAfter, Amos Riley]
Generated description
Amos Riley was an individual significant enough in local history that Riley County, Kansas, was named in his honor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amos Riley
Target entity description: Amos Riley was an individual significant enough in local history that Riley County, Kansas, was named in his honor.
  • A. Joseph Ashburn
    Joseph Ashburn was the second husband of American upholsterer Betsy Ross, who is widely associated with sewing the first United States flag.
  • B. Pelham Humfrey
    Pelham Humfrey was a 17th-century English composer and singer, known for his influential sacred music and as an early master in the Restoration-era Chapel Royal.
  • C. Biff Elliot
    Biff Elliot was an American actor best known for his tough-guy roles in film and television during the mid-20th century.
  • D. Ralph Burns
    Ralph Burns was an American jazz pianist, composer, and arranger renowned for his influential big band work and acclaimed film scores.
  • E. Amos Vernon
    Amos Vernon is a screenwriter and comedian known for co-writing the animated film "Hotel Transylvania: Transformania" and contributing to various comedy projects.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd947a0a08190966f22a6207c9120 completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065e09fbc81908159b386038b3d73 completed April 4, 2026, 1:14 a.m.
NEDg Description generation batch_69d0676ea53c81908b16dfce6810f6b0 completed April 4, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69d0684c1a108190bc7fdfdced16e24c completed April 4, 2026, 1:24 a.m.
Created at: March 30, 2026, 7:26 p.m.