Triple
T18888568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanny and the Professor |
E462021
|
entity |
| Predicate | themeMusicComposer |
P1952
|
FINISHED |
| Object | George Greeley |
—
|
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: George Greeley | Statement: [Nanny and the Professor, themeMusicComposer, George Greeley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Greeley Context triple: [Nanny and the Professor, themeMusicComposer, George Greeley]
-
A.
George Greeley
chosen
George Greeley was an American pianist, composer, and arranger best known for his work on film and television scores in the mid-20th century.
-
B.
Henry Bayfield
Henry Bayfield was a British naval officer and hydrographer known for his extensive 19th-century surveys and mapping of the Great Lakes region of North America.
-
C.
John Buell
John Buell was a Canadian novelist and screenwriter known for adapting his own literary work, including the novel that became the film "The Pyx."
-
D.
George Meeker
George Meeker was an American character actor active in the early to mid-20th century, known for his supporting roles in numerous Hollywood films.
-
E.
William Holmes Brown
William Holmes Brown was a long-serving Parliamentarian of the U.S. House of Representatives, known for his expertise in legislative procedure and influential role in guiding House operations.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c478d8c481909291e7c471e5095a |
completed | April 20, 2026, 6:15 a.m. |
Created at: April 10, 2026, 11:58 a.m.