Triple
T12725051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank James Cooper |
E304082
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object |
James
James is the middle name of American film actor Frank James Cooper, better known as Gary Cooper.
|
E1001639
|
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: [Frank James Cooper, middleName, James]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Context triple: [Frank James Cooper, middleName, 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 John Fletcher Hurst, an American Methodist bishop and theologian known for his contributions to religious scholarship in the 19th century.
-
D.
John
John is the given name of John Neely Bryan, the 19th-century American trader and lawyer who founded the city of Dallas, Texas.
-
E.
John
John "Jack" Twyman was an American Hall of Fame professional basketball player best known for his scoring prowess with the Cincinnati Royals and his advocacy for teammate Maurice Stokes.
- 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: [Frank James Cooper, middleName, James]
Generated description
James is the middle name of American film actor Frank James Cooper, better known as Gary Cooper.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: James Target entity description: James is the middle name of American film actor Frank James Cooper, better known as Gary Cooper.
-
A.
James
James is the middle name of Richard J. Oglesby, a 19th-century American politician and three-time governor of Illinois.
-
B.
James
James is the middle name of American author Robert James Waller, best known for writing "The Bridges of Madison County."
-
C.
James
James is the middle name of John James Beckley, the first Clerk of the U.S. House of Representatives and an early American political figure.
-
D.
James
James is the middle name of Edward James Lennox, a prominent Canadian architect known for designing several landmark buildings in Toronto.
-
E.
James
James is the middle name of the English poet and children's author Edward James Hughes, better known as Ted Hughes.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96415ebe48190ae935bc3a9b00f65 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684e61e7081908dec7958e8bc1125 |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f685dac5cc8190b4bc2d81186c9266 |
completed | May 2, 2026, 11:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6869156048190b548ecd04561deb8 |
completed | May 2, 2026, 11:19 p.m. |
Created at: April 9, 2026, 5:25 p.m.