Triple
T10737511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen and Country |
E253230
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Ron Davis
Ron Davis is an editor known for his work on the publication "Queen and Country."
|
E883698
|
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: Ron Davis | Statement: [Queen and Country, editedBy, Ron Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Davis Context triple: [Queen and Country, editedBy, Ron Davis]
-
A.
Rod Davis
Rod Davis is a British musician best known as an early member of The Quarrymen, the skiffle group that evolved into The Beatles.
-
B.
David Dodd
David Dodd was an American economist, Columbia Business School professor, and influential co-author of the classic value investing text "Security Analysis."
-
C.
Jerome J. Hanauer
Jerome J. Hanauer was an American investment banker and partner at the prominent Wall Street firm Kuhn, Loeb & Co.
-
D.
Thomas A. Burke
Thomas A. Burke was a prominent Cleveland political figure who served as mayor and later as a U.S. senator from Ohio.
-
E.
Thomas R. Kline
Thomas R. Kline is a prominent American trial lawyer and philanthropist known for major contributions to legal education and high-profile civil litigation.
- 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: Ron Davis Triple: [Queen and Country, editedBy, Ron Davis]
Generated description
Ron Davis is an editor known for his work on the publication "Queen and Country."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ron Davis Target entity description: Ron Davis is an editor known for his work on the publication "Queen and Country."
-
A.
Rod Davis
Rod Davis is a British musician best known as an early member of The Quarrymen, the skiffle group that evolved into The Beatles.
-
B.
David Dodd
David Dodd was an American economist, Columbia Business School professor, and influential co-author of the classic value investing text "Security Analysis."
-
C.
Jerome J. Hanauer
Jerome J. Hanauer was an American investment banker and partner at the prominent Wall Street firm Kuhn, Loeb & Co.
-
D.
Thomas A. Burke
Thomas A. Burke was a prominent Cleveland political figure who served as mayor and later as a U.S. senator from Ohio.
-
E.
Thomas R. Kline
Thomas R. Kline is a prominent American trial lawyer and philanthropist known for major contributions to legal education and high-profile civil litigation.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710410a04819090036597ac0d271c |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22dce1cc8190a3511d86e8bd6d3e |
completed | April 14, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69de271e2698819093bba748a0a0db5d |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2cdd79608190bad8045939556bc7 |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:14 p.m.