Triple
T22100893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Man in the White Suit |
E546168
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Roger MacDougall |
—
|
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: Roger MacDougall | Statement: [The Man in the White Suit, screenwriter, Roger MacDougall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger MacDougall Context triple: [The Man in the White Suit, screenwriter, Roger MacDougall]
-
A.
Roger MacDougall
chosen
Roger MacDougall was a Scottish playwright and screenwriter known for his work on mid-20th-century British comedies and films.
-
B.
Richard Macdonald
Richard Macdonald was a British production designer and art director known for his distinctive visual work on films including the 1991 movie "The Addams Family."
-
C.
James Maclehose
James Maclehose was the husband of Agnes Maclehose, the 18th-century Scottish woman known for her celebrated correspondence with poet Robert Burns.
-
D.
Robert MacDougal
Robert MacDougal is a master art thief and the suave, cunning protagonist portrayed by Sean Connery in the heist thriller film "Entrapment."
-
E.
Peter MacNeill
Peter MacNeill is a Canadian film and television actor known for his character roles in numerous dramas and independent films.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291501508190ad5689be5abb2ba6 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.