Triple
T9529003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babes on Broadway |
E229836
|
entity |
| Predicate | hasContributor |
P4244
|
FINISHED |
| Object | Walter Ruick |
E229836
|
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: Walter Ruick | Statement: [Babes on Broadway, hasContributor, Walter Ruick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Ruick Context triple: [Babes on Broadway, hasContributor, Walter Ruick]
-
A.
Walter Ruick
chosen
Walter Ruick was a film music professional associated with the score of the 1941 musical film "Babes on Broadway."
-
B.
Walter Hendricks
Walter Hendricks was an American educator best known as the founder and first president of Marlboro College in Vermont.
-
C.
Walter Heitz
Walter Heitz was a German Wehrmacht general best known for commanding the VIII Army Corps and later the doomed German forces in Stalingrad during World War II.
-
D.
Walter Lundin
Walter Lundin was an American cinematographer best known for his work on silent-era comedies, particularly films starring Harold Lloyd.
-
E.
Charles Leickert
Charles Leickert was a 19th-century Dutch painter renowned for his atmospheric winter landscapes and cityscapes of the Netherlands.
- 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98b1b93481909812245ac14e4988 |
completed | April 1, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c30c6008190b2eff99d74f18070 |
completed | April 4, 2026, 5:36 p.m. |
Created at: March 30, 2026, 8 p.m.