Triple
T21106106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Tashlin |
E520046
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Geisha Boy |
—
|
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: The Geisha Boy | Statement: [Frank Tashlin, notableWork, The Geisha Boy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Geisha Boy Context triple: [Frank Tashlin, notableWork, The Geisha Boy]
-
A.
The Geisha Boy
chosen
The Geisha Boy is a 1958 American comedy film starring Jerry Lewis as a bumbling magician entertaining U.S. troops in Japan.
-
B.
The Barbarian and the Geisha
The Barbarian and the Geisha is a 1958 historical drama film directed by John Huston and starring John Wayne as an American diplomat in 19th-century Japan.
-
C.
Memoirs of a Geisha
Memoirs of a Geisha is a 2005 film adaptation of Arthur Golden’s novel, depicting the life of a young girl sold to a geisha house in pre- and post-World War II Japan.
-
D.
The Orange Geisha
The Orange Geisha is one of the interconnected short stories in William T. Vollmann’s collection *The Rainbow Stories*, exploring themes of desire, violence, and marginalization.
-
E.
The Izu Dancer
The Izu Dancer is a classic 1926 Japanese short story by Yasunari Kawabata that follows a young student’s poignant encounter with a traveling dancing girl in the Izu Peninsula.
- 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b62301c819082cfc6cb3cd11c8c |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:53 p.m.