Triple
T11023441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museum of Contemporary Canadian Art |
E260552
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
MOCCA
MOCCA is a Toronto-based art institution dedicated to exhibiting and promoting contemporary Canadian art and artists.
|
E900419
|
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: MOCCA | Statement: [Museum of Contemporary Canadian Art, alsoKnownAs, MOCCA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MOCCA Context triple: [Museum of Contemporary Canadian Art, alsoKnownAs, MOCCA]
-
A.
Mocha
Mocha is a popular JavaScript test framework used primarily for running unit and integration tests in Node.js and browser-based applications.
-
B.
Mocha
Mocha is a subsidiary peak of the Carihuairazo volcanic massif in the Ecuadorian Andes.
-
C.
Cappachino
Cappachino is an alias of Cappadonna, an American rapper best known for his longtime affiliation with the Wu-Tang Clan.
-
D.
Gamocha
Gamocha is a traditional Assamese handwoven cloth, typically white with red borders and motifs, used in cultural rituals, ceremonies, and as a symbol of respect in Assam, India.
-
E.
Caffe
Caffe is an open-source deep learning framework known for its speed and modular design, widely used in computer vision research and applications.
- 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: MOCCA Triple: [Museum of Contemporary Canadian Art, alsoKnownAs, MOCCA]
Generated description
MOCCA is a Toronto-based art institution dedicated to exhibiting and promoting contemporary Canadian art and artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MOCCA Target entity description: MOCCA is a Toronto-based art institution dedicated to exhibiting and promoting contemporary Canadian art and artists.
-
A.
Mocha
Mocha is a popular JavaScript test framework used primarily for running unit and integration tests in Node.js and browser-based applications.
-
B.
Mocha
Mocha is a subsidiary peak of the Carihuairazo volcanic massif in the Ecuadorian Andes.
-
C.
Cappachino
Cappachino is an alias of Cappadonna, an American rapper best known for his longtime affiliation with the Wu-Tang Clan.
-
D.
Gamocha
Gamocha is a traditional Assamese handwoven cloth, typically white with red borders and motifs, used in cultural rituals, ceremonies, and as a symbol of respect in Assam, India.
-
E.
Caffe
Caffe is an open-source deep learning framework known for its speed and modular design, widely used in computer vision research and applications.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797be9f148190a3a967bad5947496 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3750917d481909e73de0bfae27827 |
completed | April 18, 2026, 12:11 p.m. |
| NEDg | Description generation | batch_69e37ab860f48190808ba0076cfa9c98 |
completed | April 18, 2026, 12:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3864dd0d48190b3fd81381f5d7418 |
completed | April 18, 2026, 1:25 p.m. |
Created at: April 8, 2026, 9:25 p.m.