Triple
T8047154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Campus |
E187581
|
entity |
| Predicate | hasArchitect |
P184
|
FINISHED |
| Object |
Maxime Siroux
Maxime Siroux is an architect known for designing the Central Campus complex.
|
E717823
|
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: Maxime Siroux | Statement: [Central Campus, hasArchitect, Maxime Siroux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maxime Siroux Context triple: [Central Campus, hasArchitect, Maxime Siroux]
-
A.
Julien BriseBois
Julien BriseBois is a Canadian ice hockey executive best known for building and leading the Tampa Bay Lightning into a modern NHL powerhouse and multiple-time Stanley Cup champion.
-
B.
Arnaud Vaillant
Arnaud Vaillant is a French fashion designer and co-founder of the innovative Paris-based label Coperni, known for its tech-inspired, sculptural womenswear.
-
C.
Sébastien David
Sébastien David is a French local politician serving as the mayor of the commune of Saint-Affrique in southern France.
-
D.
Gabriel Leveque
Gabriel Leveque was an artist known for creating religious murals, including notable works in Port-au-Prince’s Holy Trinity Cathedral.
-
E.
Fabien Roussel
Fabien Roussel is a French politician who has served as the national secretary and presidential candidate of the French Communist Party.
- 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: Maxime Siroux Triple: [Central Campus, hasArchitect, Maxime Siroux]
Generated description
Maxime Siroux is an architect known for designing the Central Campus complex.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maxime Siroux Target entity description: Maxime Siroux is an architect known for designing the Central Campus complex.
-
A.
Julien BriseBois
Julien BriseBois is a Canadian ice hockey executive best known for building and leading the Tampa Bay Lightning into a modern NHL powerhouse and multiple-time Stanley Cup champion.
-
B.
Arnaud Vaillant
Arnaud Vaillant is a French fashion designer and co-founder of the innovative Paris-based label Coperni, known for its tech-inspired, sculptural womenswear.
-
C.
Sébastien David
Sébastien David is a French local politician serving as the mayor of the commune of Saint-Affrique in southern France.
-
D.
Gabriel Leveque
Gabriel Leveque was an artist known for creating religious murals, including notable works in Port-au-Prince’s Holy Trinity Cathedral.
-
E.
Fabien Roussel
Fabien Roussel is a French politician who has served as the national secretary and presidential candidate of the French Communist Party.
- 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_69ca82b15e948190a62fd7af5218426a |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f4f0bf88190b8a706186118c977 |
completed | March 31, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccecd365ac8190bcc156e3b7597d56 |
completed | April 1, 2026, 10 a.m. |
| NEDg | Description generation | batch_69ccf0982f4481908e2a59424fdf470f |
completed | April 1, 2026, 10:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd051913708190a83f925cf0cbbaa1 |
completed | April 1, 2026, 11:44 a.m. |
Created at: March 30, 2026, 5:24 p.m.