Triple
T13688372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piccadilly Jim |
E328193
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object |
Select Pictures
Select Pictures was an early 20th-century American film distribution company active during the silent film era.
|
E1054495
|
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: Select Pictures | Statement: [Piccadilly Jim, distributor, Select Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Select Pictures Context triple: [Piccadilly Jim, distributor, Select Pictures]
-
A.
Photos
Photos is Apple's built-in photo management and editing application for macOS that organizes, syncs, and enhances users' image and video libraries.
-
B.
Images
Images is a set of impressionistic piano pieces by Claude Debussy that evoke vivid, atmospheric soundscapes through innovative harmony and tone color.
-
C.
Individual Pictures
Individual Pictures is a film production company known for producing the classic British mystery-thriller "Green for Danger."
-
D.
Other Pictures
"Other Pictures" is a photography series by British fashion photographer Miles Aldridge, known for its highly stylized, vividly colored, and cinematic images.
-
E.
PicScout
PicScout is a technology company specializing in image recognition and copyright tracking solutions for the visual media industry.
- 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: Select Pictures Triple: [Piccadilly Jim, distributor, Select Pictures]
Generated description
Select Pictures was an early 20th-century American film distribution company active during the silent film era.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Select Pictures Target entity description: Select Pictures was an early 20th-century American film distribution company active during the silent film era.
-
A.
Photos
Photos is Apple's built-in photo management and editing application for macOS that organizes, syncs, and enhances users' image and video libraries.
-
B.
Images
Images is a set of impressionistic piano pieces by Claude Debussy that evoke vivid, atmospheric soundscapes through innovative harmony and tone color.
-
C.
Individual Pictures
Individual Pictures is a film production company known for producing the classic British mystery-thriller "Green for Danger."
-
D.
Other Pictures
"Other Pictures" is a photography series by British fashion photographer Miles Aldridge, known for its highly stylized, vividly colored, and cinematic images.
-
E.
PicScout
PicScout is a technology company specializing in image recognition and copyright tracking solutions for the visual media industry.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc670968881908e2b4fdf656c7285 |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7944981ec8190be5ff39b7c2c70ab |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f795e361c48190b37060312e7df181 |
completed | May 3, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f796e5c60c8190a19389bc4cdbd658 |
completed | May 3, 2026, 6:41 p.m. |
Created at: April 9, 2026, 9:53 p.m.