Triple
T14380423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russell Tyrone Jones |
E356584
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Jones
Jones is a common English-language surname shared by numerous notable individuals across fields such as entertainment, sports, politics, and science.
|
E46350
|
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: Jones | Statement: [Russell Tyrone Jones, hasFamilyName, Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jones Context triple: [Russell Tyrone Jones, hasFamilyName, Jones]
-
A.
John
John is the first name of Dennis Hastert, the former Speaker of the United States House of Representatives.
-
B.
John
John G. Heyburn II was a United States federal judge who served on the U.S. District Court for the Western District of Kentucky.
-
C.
John
John of Cornwall was a 12th-century Cornish scholar and theologian known for his Latin writings and contributions to medieval intellectual life.
-
D.
John
John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
-
E.
John
John is the middle name of Alexander John Buckley Ford.
- 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: Jones Triple: [Russell Tyrone Jones, hasFamilyName, Jones]
Generated description
Jones is a common English-language surname shared by numerous notable individuals across fields such as entertainment, sports, politics, and science.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jones Target entity description: Jones is a common English-language surname shared by numerous notable individuals across fields such as entertainment, sports, politics, and science.
-
A.
Jones
chosen
Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
-
B.
John
John is the given name of the British philosopher of language J. L. Austin, known for developing speech act theory.
-
C.
John
John is the given name of Saint John of Rila, a revered Bulgarian hermit and the most prominent saint of the Bulgarian Orthodox Church.
-
D.
John
John is the given name of John Philip Holland, the Irish engineer known for developing some of the first practical submarines.
-
E.
John
John of Cornwall was a 12th-century Cornish scholar and theologian known for his Latin writings and contributions to medieval intellectual life.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900bbfb08190a1e56f281a2374c0 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5511c9e4819089dcbf089ca0dc6a |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd5671340081909d87978be2a5522b |
completed | May 8, 2026, 3:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd57a6711881909429bba35ee867c6 |
completed | May 8, 2026, 3:25 a.m. |
Created at: April 10, 2026, 1:16 a.m.