Triple
T17039400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Stith Pemberton |
E413405
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of John Stith Pemberton, the American pharmacist best known for inventing Coca-Cola.
|
E1248241
|
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 Stith Pemberton, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John Stith Pemberton, 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 Stith Pemberton, givenName, John]
Generated description
John is the given name of John Stith Pemberton, the American pharmacist best known for inventing Coca-Cola.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of John Stith Pemberton, the American pharmacist best known for inventing Coca-Cola.
-
A.
John
John is the given name of John Henry Patterson, an American industrialist and founder of the National Cash Register Company.
-
B.
John
John is the given name of John D. Rockefeller, the American industrialist and philanthropist who founded Standard Oil and became one of the wealthiest individuals in history.
-
C.
John
John is the given name of John C. Sheehan, an American organic chemist renowned for achieving the first complete laboratory synthesis of penicillin.
-
D.
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.
-
E.
John
John is the given name of John Warne Gates, the American industrialist and financier known for promoting barbed wire and early oil ventures.
- 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_6a01233311648190b5f8a8e7c209d124 |
completed | May 11, 2026, 12:30 a.m. |
| NEDg | Description generation | batch_6a0124f158a08190a803b37378a2c253 |
completed | May 11, 2026, 12:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a012569322081908b60694851d50e4b |
completed | May 11, 2026, 12:40 a.m. |
Created at: April 10, 2026, 5:33 a.m.