Triple
T7148191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeb |
E166621
|
entity |
| Predicate | shortFormOf |
P43
|
FINISHED |
| Object |
James
James is a common given name of Hebrew origin, widely used in English-speaking countries and borne by numerous historical, religious, and cultural figures.
|
E1815
|
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: James | Statement: [Jeb, shortFormOf, James]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Context triple: [Jeb, shortFormOf, James]
-
A.
John
John R. Klauder is an American theoretical physicist known for his contributions to quantum field theory, coherent states, and functional analysis.
-
B.
John
John is the given name of John Landy, the Australian middle-distance runner famed for being the second man to break the four-minute mile and later serving as Governor of Victoria.
-
C.
John
John is the given name of Sir John Anderson, a British civil servant and politician who played a key role in government during the early 20th century.
-
D.
John
John J. Raskob was an American businessman and financier best known for his executive role at General Motors and for financing and promoting the construction of the Empire State Building.
-
E.
John
John is the given name of John Sculley, the former Apple CEO and prominent American business executive.
- 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: James Triple: [Jeb, shortFormOf, James]
Generated description
James is a common given name of Hebrew origin, widely used in English-speaking countries and borne by numerous historical, religious, and cultural figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: James Target entity description: James is a common given name of Hebrew origin, widely used in English-speaking countries and borne by numerous historical, religious, and cultural figures.
-
A.
James
chosen
James is a common masculine given name of Hebrew origin meaning "supplanter," widely used in English-speaking countries.
-
B.
James
James is a prominent early Christian figure, traditionally identified as James the brother of Jesus and a leader in the Jerusalem church.
-
C.
James
James is a New Testament epistle traditionally attributed to James the brother of Jesus, emphasizing practical Christian ethics and the relationship between faith and works.
-
D.
James
James is a common English surname of Hebrew origin, widely borne by notable figures in sports, politics, and the arts.
-
E.
John
John is the given name of John Bardeen, the American physicist who uniquely won the Nobel Prize in Physics twice for his work on the transistor and superconductivity.
- F. None of above.
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_69c68886779c8190a8e3fbabffe68253 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7d6313c8190bdd34e700fc65502 |
completed | March 27, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf817e4c819098268479f3fb181f |
completed | March 28, 2026, 11:46 a.m. |
| NEDg | Description generation | batch_69c7c0f068b88190b0d28e4ad38590e6 |
completed | March 28, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7c14c167c8190aad05c3eb03bb54d |
completed | March 28, 2026, 11:53 a.m. |
Created at: March 27, 2026, 2:46 p.m.