Triple
T9846416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Night at Maud’s |
E239351
|
entity |
| Predicate | producedBy |
P490
|
FINISHED |
| Object | Barbet Schroeder |
E546147
|
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: Barbet Schroeder | Statement: [My Night at Maud’s, producedBy, Barbet Schroeder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbet Schroeder Context triple: [My Night at Maud’s, producedBy, Barbet Schroeder]
-
A.
Barbet Schroeder
chosen
Barbet Schroeder is a Swiss-born film director and producer known for acclaimed works such as "Barfly," "Reversal of Fortune," and "Single White Female."
-
B.
Happy Felsch
Happy Felsch was an American Major League Baseball outfielder best known as one of the Chicago White Sox players banned for his role in the 1919 Black Sox Scandal.
-
C.
Bitty Schram
Bitty Schram is an American actress best known for playing Sharona Fleming, Adrian Monk’s original assistant, on the television series "Monk."
-
D.
Charlie Wachtel
Charlie Wachtel is an American screenwriter best known for co-writing the Academy Award–winning film "BlacKkKlansman."
-
E.
Fred Schuler
Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb36156308190b26892702f3b41e0 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5e1b67c8190ad7b57ea423511d8 |
completed | April 5, 2026, 3:24 a.m. |
Created at: March 30, 2026, 8:34 p.m.