Triple
T10812030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stormy Weather |
E255125
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Emil Newman |
E92577
|
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: Emil Newman | Statement: [Stormy Weather, musicBy, Emil Newman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emil Newman Context triple: [Stormy Weather, musicBy, Emil Newman]
-
A.
Emil Newman
chosen
Emil Newman was an American film composer and conductor, part of the renowned Newman family of Hollywood film scorers.
-
B.
Victor Emmric
Victor Emmric is a fictional character from the legal drama film "The Verdict," involved in the courtroom proceedings central to the story.
-
C.
Victor Hammer
Victor Hammer is a cinematographer best known for his work on the comedy film "Billy Madison."
-
D.
Victor Feldbrill
Victor Feldbrill was a prominent Canadian conductor known for championing Canadian composers and leading major orchestras across the country.
-
E.
Peter Hylenski
Peter Hylenski is a Tony Award–winning American sound designer known for his work on numerous major Broadway productions.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733eadda48190b2b1183ee60102cb |
completed | April 9, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de853692f08190914cbeaf1a558730 |
completed | April 14, 2026, 6:19 p.m. |
Created at: April 8, 2026, 9:18 p.m.