Triple
T10286251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babes in Toyland (1961 film) |
E241235
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | George Bruns |
E375495
|
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: George Bruns | Statement: [Babes in Toyland (1961 film), musicBy, George Bruns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Bruns Context triple: [Babes in Toyland (1961 film), musicBy, George Bruns]
-
A.
George Bruns
chosen
George Bruns was an American composer and arranger best known for his work on numerous Disney films and theme park attractions, including iconic scores for animated classics and rides.
-
B.
Louis Butz
Louis Butz is an individual notable enough to be recognized as a prominent bearer of the surname Butz.
-
C.
George Boemler
George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
-
D.
George Weisgerber
George Weisgerber is an American reality television personality best known for appearing as a contestant on the VH1 dating show "I Love New York 2."
-
E.
Edwin Blashfield
Edwin Blashfield was an American muralist and painter best known for his large-scale allegorical works in prominent public buildings across the United States.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b8343c819087c50e5471c46e3f |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e15435faa881909b1a124f8027deeb |
completed | April 16, 2026, 9:27 p.m. |
Created at: April 6, 2026, 11:40 a.m.