Triple
T5286898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiorello! (musical) |
E119639
|
entity |
| Predicate | orchestrator |
P4735
|
FINISHED |
| Object | Don Walker |
E287999
|
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: Don Walker | Statement: [Fiorello! (musical), orchestrator, Don Walker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Walker Context triple: [Fiorello! (musical), 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.
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.
-
C.
Joseph Walker
Joseph Walker was a prominent American cinematographer best known for his influential work during Hollywood’s Golden Age, particularly in collaboration with director Frank Capra.
-
D.
Rob Walker
Rob Walker is a technology entrepreneur best known as a co-founder of the semiconductor company LSI Logic.
-
E.
Al Burton
Al Burton was an American television producer and composer best known for his work on popular sitcoms such as "The Facts of Life."
- 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_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84d9a0788190a4a85a9cab07903f |
completed | March 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06e98e48819091c666cf7872a7f8 |
completed | March 21, 2026, 9 p.m. |
Created at: March 20, 2026, 1:52 p.m.