Triple
T12015838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rodney Harrison |
E286022
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Rodney |
E494224
|
NE FINISHED |
How this triple was built (2 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: [Rodney Harrison, givenName, Rodney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rodney Context triple: [Rodney Harrison, givenName, 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
chosen
Rodney is the given first name of Rod Thorn, an American former professional basketball player and longtime NBA executive.
-
C.
Rodney
Rodney is a surname most notably associated with George Brydges Rodney, an 18th-century British naval officer and admiral.
-
D.
Rodrick
Rodrick is a masculine given name, typically considered a spelling variant of Roderic or Roderick, used in English-speaking contexts.
-
E.
Rodney Liber
Rodney Liber is a film producer best known for his work on movies such as the erotic thriller "Wild Things."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d9b17881908894be80d7c1b64e |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b53cd08819084a9335449844f12 |
completed | May 1, 2026, 11:15 a.m. |
Created at: April 8, 2026, 9:47 p.m.