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.