Triple
T9610478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. B. Fuqua |
E232085
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given first name of J. B. Fuqua, an American businessman, philanthropist, and political figure.
|
E813161
|
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: [J. B. Fuqua, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [J. B. Fuqua, givenName, John]
-
A.
John
John is the given name of the influential American financier and banker J. P. Morgan, a central figure in early 20th-century U.S. finance and industry.
-
B.
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.
-
C.
John
John is the given first name of J. Presper Eckert, the American electrical engineer and co-inventor of the ENIAC computer.
-
D.
John
John, known formally as Lord Browne of Madingley, is a prominent British businessman and former chief executive of BP.
-
E.
John
John is the given name of John Francis Dodge, an American automobile pioneer and co-founder of the Dodge Brothers Company.
- 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: [J. B. Fuqua, givenName, John]
Generated description
John is the given first name of J. B. Fuqua, an American businessman, philanthropist, and political figure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given first name of J. B. Fuqua, an American businessman, philanthropist, and political figure.
-
A.
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.
-
B.
John
John is the given name of John D. Rockefeller Jr., the American philanthropist and heir to the Rockefeller family fortune.
-
C.
John
John is the given name of American businessman and philanthropist John D. MacArthur, one of the wealthiest men in the United States during his lifetime and co-founder of the MacArthur Foundation.
-
D.
John
John is the given name of John D. Rockefeller III, an American philanthropist and prominent member of the Rockefeller family.
-
E.
John
John is the given name of the influential American financier and banker J. P. Morgan, a central figure in early 20th-century U.S. finance and industry.
- 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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a85d4c881909ccab2e972d97e68 |
completed | April 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d189f4e994819088c55856bf79621d |
completed | April 4, 2026, 10 p.m. |
| NEDg | Description generation | batch_69d18acf86588190bc000f701bcaaa1c |
completed | April 4, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18ba396cc8190a3ded2ac3968c553 |
completed | April 4, 2026, 10:07 p.m. |
Created at: March 30, 2026, 8:08 p.m.