Triple
T22171898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Call Me Madam |
E547938
|
entity |
| Predicate | orchestrator |
P4735
|
FINISHED |
| Object | Don Walker |
—
|
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: Don Walker | Statement: [Call Me Madam, orchestrator, Don Walker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Walker Context triple: [Call Me Madam, orchestrator, Don Walker]
-
A.
Don Walker
chosen
Don Walker was a prominent American orchestrator and arranger best known for his work on numerous Broadway musicals in the mid-20th century.
-
B.
Bob Walker
Bob Walker was an early 20th-century film actor known for appearing in silent-era productions such as the 1915 drama "The Warrens of Virginia."
-
C.
Stephen Walker
Stephen Walker is an experienced FBI profiler and special agent who joins the Behavioral Analysis Unit in the television series "Criminal Minds."
-
D.
Mark E. Walker
Mark E. Walker is a United States federal judge who serves as the Chief Judge of the U.S. District Court for the Northern District of Florida.
-
E.
Stanley Walker
Stanley Walker was a prominent American newspaper editor and author best known for his influential leadership in New York journalism during the early 20th century.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a68c26c8190b1258595bd96cb63 |
completed | April 28, 2026, 9:45 p.m. |
Created at: April 16, 2026, 8:34 p.m.