Triple
T10365764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pride and Prejudice (1940 film) |
E244246
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Melville Cooper |
E805344
|
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: Melville Cooper | Statement: [Pride and Prejudice (1940 film), starring, Melville Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melville Cooper Context triple: [Pride and Prejudice (1940 film), starring, Melville Cooper]
-
A.
Melville Cooper
chosen
Melville Cooper was a British character actor known for his comic and often bumbling roles in classic Hollywood films of the 1930s and 1940s.
-
B.
Herman Knickerbocker
Herman Knickerbocker was a 19th-century American lawyer, politician, and U.S. Representative from New York known for his prominence in state and national affairs.
-
C.
Henry Seabrook
Henry Seabrook was an architect best known for designing the Europa Hotel in Belfast, one of the city's most prominent and historically significant hotels.
-
D.
Melville Tucker
Melville Tucker is a film producer best known for his work on the 1980 comedy movie "Stir Crazy."
-
E.
Melville Jacobs
Melville Jacobs was an American anthropologist and linguist known for his influential fieldwork and documentation of Native American languages and oral traditions in the Pacific Northwest.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e96f25f48190a41c8b0206b9238c |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750c8c7588190a31bac5b774155fe |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 6, 2026, noon