Triple
T10467271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate & Leopold |
E246828
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Konrad Pictures
Konrad Pictures is a film production company known for working on the romantic fantasy movie "Kate & Leopold."
|
E868772
|
NE FINISHED |
How this triple was built (4 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: Konrad Pictures | Statement: [Kate & Leopold, productionCompany, Konrad Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konrad Pictures Context triple: [Kate & Leopold, productionCompany, Konrad Pictures]
-
A.
Monumental Pictures
Monumental Pictures is a British film and television production company known for producing high-profile dramas such as the period series "Harlots."
-
B.
Monumental Pictures
Monumental Pictures is a British film and television production company known for producing feature films such as the 2019 adaptation of "Cats."
-
C.
Monumental Pictures
Monumental Pictures is the fictional Hollywood film studio featured in the classic musical film "Singin' in the Rain."
-
D.
Vistar Films
Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
-
E.
Capstone Pictures
Capstone Pictures is a film production company best known for producing the crime thriller "Lucky Number Slevin."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Konrad Pictures Triple: [Kate & Leopold, productionCompany, Konrad Pictures]
Generated description
Konrad Pictures is a film production company known for working on the romantic fantasy movie "Kate & Leopold."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Konrad Pictures Target entity description: Konrad Pictures is a film production company known for working on the romantic fantasy movie "Kate & Leopold."
-
A.
Monumental Pictures
Monumental Pictures is a British film and television production company known for producing high-profile dramas such as the period series "Harlots."
-
B.
Monumental Pictures
Monumental Pictures is a British film and television production company known for producing feature films such as the 2019 adaptation of "Cats."
-
C.
Monumental Pictures
Monumental Pictures is the fictional Hollywood film studio featured in the classic musical film "Singin' in the Rain."
-
D.
Vistar Films
Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
-
E.
Capstone Pictures
Capstone Pictures is a film production company best known for producing the crime thriller "Lucky Number Slevin."
- F. None of above. chosen
Provenance (5 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092e3230819098ab444f73c9bd40 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90dac584081909a79bc300b9338c8 |
completed | April 10, 2026, 2:48 p.m. |
| NEDg | Description generation | batch_69d91196e4e88190bb4aeae8c475d636 |
completed | April 10, 2026, 3:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9126254408190a79ea571649416f6 |
completed | April 10, 2026, 3:08 p.m. |
Created at: April 6, 2026, 12:20 p.m.