Triple

T17039401
Position Surface form Disambiguated ID Type / Status
Subject John Stith Pemberton E413405 entity
Predicate middleName P143 FINISHED
Object Stith
Stith is the middle name of John Stith Pemberton, the American pharmacist best known as the inventor of Coca-Cola.
 E1245881 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: Stith | Statement: [John Stith Pemberton, middleName, Stith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stith
Context triple: [John Stith Pemberton, middleName, Stith]
  • A. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • B. Tilghman
    Tilghman is a surname most notably associated with Shirley M. Tilghman, a prominent molecular biologist and former president of Princeton University.
  • C. Tolan
    Tolan is a surname most notably associated with American television producer, writer, and director Peter Tolan.
  • D. Flinton
    Flinton is a small rural community located within the township of Addington Highlands in eastern Ontario, Canada.
  • E. Snelling
    Snelling is a surname of English origin borne by various notable individuals, including military figures and public officials.
  • 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: Stith
Triple: [John Stith Pemberton, middleName, Stith]
Generated description
Stith is the middle name of John Stith Pemberton, the American pharmacist best known as the inventor of Coca-Cola.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stith
Target entity description: Stith is the middle name of John Stith Pemberton, the American pharmacist best known as the inventor of Coca-Cola.
  • A. Tilghman
    Tilghman is a surname most notably associated with Shirley M. Tilghman, a prominent molecular biologist and former president of Princeton University.
  • B. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • C. Tolan
    Tolan is a surname most notably associated with American television producer, writer, and director Peter Tolan.
  • D. Flinton
    Flinton is a small rural community located within the township of Addington Highlands in eastern Ontario, Canada.
  • E. Snelling
    Snelling is a surname of English origin borne by various notable individuals, including military figures and public officials.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8f5844c819097eade4a2b42ab91 completed April 18, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b5ceb048190a7f6cf2361360f90 completed May 10, 2026, 11:57 p.m.
NEDg Description generation batch_6a011c13076c8190970abfb0e2d3a13c completed May 11, 2026, midnight
NED2 Entity disambiguation (via description) batch_6a011c8afb608190b51c7a4c9ccaa0a5 completed May 11, 2026, 12:02 a.m.
Created at: April 10, 2026, 5:33 a.m.