Triple
T20043765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrice Robitaille |
E497497
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Caméra Café
Caméra Café is a popular Quebecois television comedy series set around an office coffee machine, known for its satirical take on workplace life.
|
E1408804
|
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: Caméra Café | Statement: [Patrice Robitaille, notableWork, Caméra Café]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caméra Café Context triple: [Patrice Robitaille, notableWork, Caméra Café]
-
A.
Telecafé
Telecafé is the revolving restaurant located in Berlin’s iconic TV Tower, offering panoramic views over the city.
-
B.
Café
Café is a renowned modernist painting by Brazilian artist Cândido Portinari that depicts coffee plantation workers and highlights the social realities of rural labor in Brazil.
-
C.
Café Lab
Café Lab is a café-style social and collaborative space within Knowledge Capital, designed to foster interaction, creativity, and idea exchange among visitors.
-
D.
The Cafe
The Cafe is a casual dining spot where people can relax, socialize, and enjoy beverages and light meals.
-
E.
Electric Café
Electric Café is a studio album by American R&B/pop group En Vogue that marked their return with a contemporary, electronically influenced sound.
- 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: Caméra Café Triple: [Patrice Robitaille, notableWork, Caméra Café]
Generated description
Caméra Café is a popular Quebecois television comedy series set around an office coffee machine, known for its satirical take on workplace life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caméra Café Target entity description: Caméra Café is a popular Quebecois television comedy series set around an office coffee machine, known for its satirical take on workplace life.
-
A.
Telecafé
Telecafé is the revolving restaurant located in Berlin’s iconic TV Tower, offering panoramic views over the city.
-
B.
Café
Café is a renowned modernist painting by Brazilian artist Cândido Portinari that depicts coffee plantation workers and highlights the social realities of rural labor in Brazil.
-
C.
Café Lab
Café Lab is a café-style social and collaborative space within Knowledge Capital, designed to foster interaction, creativity, and idea exchange among visitors.
-
D.
The Cafe
The Cafe is a casual dining spot where people can relax, socialize, and enjoy beverages and light meals.
-
E.
Electric Café
Electric Café is a studio album by American R&B/pop group En Vogue that marked their return with a contemporary, electronically influenced sound.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662ed59bc8190a9ff25493e500ebb |
completed | April 20, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0816015e4c8190a65c4713ee9823a6 |
completed | May 16, 2026, 7 a.m. |
| NEDg | Description generation | batch_6a0816c0375c8190b940f3d0d6391b4c |
completed | May 16, 2026, 7:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a081798cb48819084ab456f79b68eb9 |
completed | May 16, 2026, 7:07 a.m. |
Created at: April 11, 2026, 3:37 p.m.