Triple

T19688434
Position Surface form Disambiguated ID Type / Status
Subject Kellogg E472772 entity
Predicate hasNotableBearer P458 FINISHED
Object Samuel Kellogg
Samuel Kellogg is an individual notable enough to be recognized as a distinguished bearer of the Kellogg surname.
E1396168 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: Samuel Kellogg | Statement: [Kellogg, hasNotableBearer, Samuel Kellogg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel Kellogg
Context triple: [Kellogg, hasNotableBearer, Samuel Kellogg]
  • A. Jerome Kellogg
    Jerome Kellogg was a physicist known as a notable student of Nobel laureate Isidor Isaac Rabi.
  • B. Peter Paul Kellogg
    Peter Paul Kellogg was an American ornithologist and pioneering bioacoustics researcher known for his work recording and analyzing bird songs.
  • C. Alfred H. Kellogg
    Alfred H. Kellogg was an American architect best known for designing the Mark Twain House and Museum in Hartford, Connecticut.
  • D. Paul Underwood Kellogg
    Paul Underwood Kellogg was an American journalist and social reformer best known for editing the progressive magazine Survey and for his influential work in social research and policy advocacy in the early 20th century.
  • E. Theodore B. Fernald
    Theodore B. Fernald is a linguist known for his descriptive and analytical work on the Maricopa language.
  • 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: Samuel Kellogg
Triple: [Kellogg, hasNotableBearer, Samuel Kellogg]
Generated description
Samuel Kellogg is an individual notable enough to be recognized as a distinguished bearer of the Kellogg surname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Samuel Kellogg
Target entity description: Samuel Kellogg is an individual notable enough to be recognized as a distinguished bearer of the Kellogg surname.
  • A. Jerome Kellogg
    Jerome Kellogg was a physicist known as a notable student of Nobel laureate Isidor Isaac Rabi.
  • B. Peter Paul Kellogg
    Peter Paul Kellogg was an American ornithologist and pioneering bioacoustics researcher known for his work recording and analyzing bird songs.
  • C. Alfred H. Kellogg
    Alfred H. Kellogg was an American architect best known for designing the Mark Twain House and Museum in Hartford, Connecticut.
  • D. Paul Underwood Kellogg
    Paul Underwood Kellogg was an American journalist and social reformer best known for editing the progressive magazine Survey and for his influential work in social research and policy advocacy in the early 20th century.
  • E. Theodore B. Fernald
    Theodore B. Fernald is a linguist known for his descriptive and analytical work on the Maricopa language.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6420e5b788190a63ff6b83383b0e8 completed April 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07c4e8d6e88190821f54b3c3b6fb07 completed May 16, 2026, 1:14 a.m.
NEDg Description generation batch_6a07c8c89d908190846caef82e2a6301 completed May 16, 2026, 1:30 a.m.
NED2 Entity disambiguation (via description) batch_6a07c96355248190bbe2505da3d5d3f4 completed May 16, 2026, 1:33 a.m.
Created at: April 10, 2026, 1:45 p.m.