Triple
T18073342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Admiral Was a Lady |
E432487
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Steve Brodie |
—
|
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: Steve Brodie | Statement: [The Admiral Was a Lady, starring, Steve Brodie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Brodie Context triple: [The Admiral Was a Lady, starring, Steve Brodie]
-
A.
Steve Brodie
chosen
Steve Brodie was an American character actor known for his prolific work in film noir and Westerns during the 1940s and 1950s.
-
B.
Harry Brooks
Harry Brooks was an American jazz pianist and composer best known for co-writing classic standards of the 1920s and 1930s.
-
C.
Oscar Brodney
Oscar Brodney was an American screenwriter best known for his work on mid-20th-century Hollywood films, particularly biographical and musical dramas.
-
D.
Harvey Fisk
Harvey Fisk was a prominent 19th-century American banker and bond dealer known for his role in financing the U.S. government during and after the Civil War.
-
E.
Frank Klingebiel
Frank Klingebiel is a German local politician who serves as the long-time mayor of the city of Salzgitter in Lower Saxony.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ccefcdc4819086d0b224731bfc4d |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.