Triple
T23480223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zero Hour! |
E570383
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Ted Dale |
—
|
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: Ted Dale | Statement: [Zero Hour!, musicBy, Ted Dale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Dale Context triple: [Zero Hour!, musicBy, Ted Dale]
-
A.
Ted Dale
chosen
Ted Dale was a composer and musician known for creating the musical score for the 1952 British disaster film "Zero Hour!".
-
B.
David Sills
David Sills was an American jurist and former mayor of Irvine, California, who later served as the presiding justice of the California Court of Appeal.
-
C.
Dewey Dudek
Dewey Dudek is a professional associated with Sammy Bryant, likely working alongside him in the same organization or field.
-
D.
Rick Shaughnessy
Rick Shaughnessy is a screenwriter best known for co-writing the independent restaurant-centered crime drama film "Dinner Rush."
-
E.
Roger Edens
Roger Edens was an American composer, arranger, and producer best known for his influential work on classic MGM musicals in Hollywood’s Golden Age.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a74f48d8819080e875aaea8b46b3 |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:03 p.m.