Triple
T5627461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Brydges Rodney |
E147753
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Rodney
Rodney is a surname most notably associated with George Brydges Rodney, an 18th-century British naval officer and admiral.
|
E534870
|
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: Rodney | Statement: [George Brydges Rodney, familyName, Rodney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rodney Context triple: [George Brydges Rodney, familyName, Rodney]
-
A.
Rodney
Rodney is the middle name of James R. Schlesinger, a prominent American economist and government official who served as U.S. Secretary of Defense and the first Secretary of Energy.
-
B.
Rodney
Rodney is the given first name of Rod Thorn, an American former professional basketball player and longtime NBA executive.
-
C.
Rodrick
Rodrick is a masculine given name, typically considered a spelling variant of Roderic or Roderick, used in English-speaking contexts.
-
D.
Rodney Liber
Rodney Liber is a film producer best known for his work on movies such as the erotic thriller "Wild Things."
-
E.
Booger McFarland
Booger McFarland is a former NFL defensive tackle who became a prominent American football television analyst and color commentator.
- 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: Rodney Triple: [George Brydges Rodney, familyName, Rodney]
Generated description
Rodney is a surname most notably associated with George Brydges Rodney, an 18th-century British naval officer and admiral.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rodney Target entity description: Rodney is a surname most notably associated with George Brydges Rodney, an 18th-century British naval officer and admiral.
-
A.
Rodney
Rodney is the middle name of James R. Schlesinger, a prominent American economist and government official who served as U.S. Secretary of Defense and the first Secretary of Energy.
-
B.
Rodney
Rodney is the given first name of Rod Thorn, an American former professional basketball player and longtime NBA executive.
-
C.
Rodrick
Rodrick is a masculine given name, typically considered a spelling variant of Roderic or Roderick, used in English-speaking contexts.
-
D.
Rodney Liber
Rodney Liber is a film producer best known for his work on movies such as the erotic thriller "Wild Things."
-
E.
Booger McFarland
Booger McFarland is a former NFL defensive tackle who became a prominent American football television analyst and color commentator.
- 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02239500c8190ad3035e44c3b0670 |
completed | March 22, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d654c6c819087c1bcb4eb9530d0 |
completed | March 22, 2026, 8:13 p.m. |
| NEDg | Description generation | batch_69c04e89b7c481908abae227d22cc814 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f41b158819097f9ef536215e248 |
completed | March 22, 2026, 8:21 p.m. |
Created at: March 22, 2026, 3:40 p.m.