Triple
T15507639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rodney Bewes |
E379123
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Rodney |
E1079865
|
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 Bewes, givenName, Rodney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rodney Context triple: [Rodney Bewes, 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
Rodney is the given first name of Rod Thorn, an American former professional basketball player and longtime NBA executive.
-
C.
Rodney
Rodney is the costumed ram mascot representing Virginia Commonwealth University’s athletic teams and school spirit.
-
D.
Rodney
chosen
Rodney is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
-
E.
Rodney
Rodney is a character from the 1967 Disney fantasy film "The Gnome-Mobile," which follows the adventures of humans helping a family of gnomes in the modern world.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcea8888190a7b69aca360183c3 |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff366e472c819093472da2a49593c6 |
completed | May 9, 2026, 1:28 p.m. |
Created at: April 10, 2026, 3:55 a.m.