Triple
T16416277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brother, Can You Spare a Dime? |
E398692
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Jay Gorney |
—
|
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: Jay Gorney | Statement: [Brother, Can You Spare a Dime?, composer, Jay Gorney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Gorney Context triple: [Brother, Can You Spare a Dime?, composer, Jay Gorney]
-
A.
Jay Gorney
chosen
Jay Gorney was an American composer best known for writing socially conscious songs for Broadway and film, including the music for the classic Depression-era anthem "Brother, Can You Spare a Dime?"
-
B.
Jon Gries
Jon Gries is an American actor and director best known for his character roles in films and TV series such as "Napoleon Dynamite," "Lost," and "The White Lotus."
-
C.
Ken Lemberger
Ken Lemberger is a film producer known for his work on the 2006 adaptation of "All the King's Men."
-
D.
Cliff Dorfman
Cliff Dorfman is an American screenwriter and filmmaker best known for co-writing the acclaimed sports drama film "Warrior" (2011).
-
E.
Garth Drabinsky
Garth Drabinsky is a Canadian theatrical producer and former film executive best known for staging large-scale Broadway and international productions, including the musical "Ragtime."
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32877ff248190886717d3329421a7 |
completed | April 18, 2026, 6:45 a.m. |
Created at: April 10, 2026, 5:09 a.m.