Triple
T7613025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitchener Public Library |
E172288
|
entity |
| Predicate | hasDigitalCollection |
P4156
|
FINISHED |
| Object |
Kanopy
Kanopy is a streaming video platform that provides on-demand access to films and documentaries, typically through public libraries and educational institutions.
|
E677072
|
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: Kanopy | Statement: [Kitchener Public Library, hasDigitalCollection, Kanopy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanopy Context triple: [Kitchener Public Library, hasDigitalCollection, Kanopy]
-
A.
Tubi
Tubi is a free, ad-supported streaming service offering a large library of movies and TV shows on demand.
-
B.
Sundance Now
Sundance Now is a subscription streaming service specializing in independent films, documentaries, and prestige television series.
-
C.
Acorn TV
Acorn TV is a subscription streaming service specializing in British and international television dramas, mysteries, and comedies.
-
D.
Mubi
Mubi is an Afroasiatic Chadic language spoken primarily in parts of Chad.
-
E.
Netflix
Netflix is a global streaming entertainment company best known for its vast library of films and TV series and its influential original content.
- 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: Kanopy Triple: [Kitchener Public Library, hasDigitalCollection, Kanopy]
Generated description
Kanopy is a streaming video platform that provides on-demand access to films and documentaries, typically through public libraries and educational institutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kanopy Target entity description: Kanopy is a streaming video platform that provides on-demand access to films and documentaries, typically through public libraries and educational institutions.
-
A.
Tubi
Tubi is a free, ad-supported streaming service offering a large library of movies and TV shows on demand.
-
B.
Sundance Now
Sundance Now is a subscription streaming service specializing in independent films, documentaries, and prestige television series.
-
C.
Acorn TV
Acorn TV is a subscription streaming service specializing in British and international television dramas, mysteries, and comedies.
-
D.
Mubi
Mubi is an Afroasiatic Chadic language spoken primarily in parts of Chad.
-
E.
Netflix
Netflix is a global streaming entertainment company best known for its vast library of films and TV series and its influential original content.
- 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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa23981c81908168ac0ac9add5d8 |
completed | March 27, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86868dce08190b31229ff2e06fe0c |
completed | March 28, 2026, 11:46 p.m. |
| NEDg | Description generation | batch_69c8690ef840819082ecaa16b5cf3f0c |
completed | March 28, 2026, 11:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c86b70a51c819091590ff094e6e784 |
completed | March 28, 2026, 11:59 p.m. |
Created at: March 27, 2026, 3:55 p.m.