Triple
T18260034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melvin Frank |
E437322
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | My Favorite Blonde |
—
|
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: My Favorite Blonde | Statement: [Melvin Frank, notableWork, My Favorite Blonde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: My Favorite Blonde Context triple: [Melvin Frank, notableWork, My Favorite Blonde]
-
A.
My Favorite Blonde
chosen
My Favorite Blonde is a 1942 American comedy-thriller film starring Bob Hope and Madeleine Carroll that blends espionage intrigue with screwball humor.
-
B.
My Favorite Brunette
My Favorite Brunette is a 1947 comedy film noir parody starring Bob Hope as a baby photographer who gets mixed up in a murder mystery.
-
C.
A Blonde in Love
A Blonde in Love is a 1965 Czechoslovak romantic comedy-drama film directed by Miloš Forman that became a landmark of the Czech New Wave cinema.
-
D.
Blonde Crazy
Blonde Crazy is a 1931 American pre-Code crime-comedy film starring James Cagney and Joan Blondell, known for its snappy dialogue and con-artist storyline.
-
E.
The Blonde
The Blonde is a character typically portrayed as an attractive, enigmatic woman whose appearance and demeanor often play into themes of allure and mystery.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd89899c8190b8b652c4f61aa5cf |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:34 a.m.