Triple

T17111631
Position Surface form Disambiguated ID Type / Status
Subject John J. Glessner E415239 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John J. Glessner, an American industrialist and prominent figure in Chicago’s late 19th-century business and architectural history.
E1250778 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: John | Statement: [John J. Glessner, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John J. Glessner, givenName, John]
  • A. John
    John is the given name of John A. Roebling II, an American civil engineer and philanthropist from the prominent Roebling family associated with major bridge construction.
  • B. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • C. John
    John is the first name of Jack Phillips, the British wireless operator on the RMS Titanic who died during its sinking in 1912.
  • D. John
    John is the given name of John Bowen, a British novelist and playwright known for his crime and speculative fiction.
  • E. John
    John is the given name of John Maitland, 1st Duke of Lauderdale, a prominent 17th-century Scottish nobleman and statesman.
  • 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: John
Triple: [John J. Glessner, givenName, John]
Generated description
John is the given name of John J. Glessner, an American industrialist and prominent figure in Chicago’s late 19th-century business and architectural history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John J. Glessner, an American industrialist and prominent figure in Chicago’s late 19th-century business and architectural history.
  • A. John
    John is the given name of John Jacob Astor, the prominent German-American businessman and real estate magnate who became one of the wealthiest individuals in early 19th-century United States.
  • B. John
    John is the given name of John J. Raskob, the American businessman and financier known for his role in the development of the Empire State Building and his leadership at General Motors and DuPont.
  • C. John
    John is the given name of John M. Olin, an American industrialist and philanthropist known for his leadership of the Olin Corporation and his influential charitable foundation.
  • D. John
    John is the given name of John Peter Altgeld, a prominent 19th-century American politician and reformist governor of Illinois.
  • E. John
    John is the given name of John G. Shedd, the American businessman and philanthropist best known for funding Chicago’s Shedd Aquarium.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2bab0881908339ec7fb3ebe7e9 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139fa0a288190af69201ec88ec3c6 completed May 11, 2026, 2:07 a.m.
NEDg Description generation batch_6a013b0a077881909f09e4de8c19d180 completed May 11, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_6a013bb1cde48190aac8aaa55dab68d1 completed May 11, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:35 a.m.