Triple
T20172014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rod McKuen |
E491983
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Rodney |
—
|
NE NERFINISHED |
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: [Rod McKuen, givenName, Rodney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rodney Context triple: [Rod McKuen, givenName, Rodney]
-
A.
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.
-
B.
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.
-
C.
Rodney
chosen
Rodney is the given first name of Rod Thorn, an American former professional basketball player and longtime NBA executive.
-
D.
Rodney
Rodney is a surname most notably associated with George Brydges Rodney, an 18th-century British naval officer and admiral.
-
E.
Rodney
Rodney is a fictional character from the film "Baby Boy," serving as one of the supporting figures in the story’s exploration of relationships and maturity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66848ae3c8190aa5fde66da35a89a |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.