Triple
T5358435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Demers |
E102759
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Guy Demers
Guy Demers is an individual notable enough to be specifically cited as a bearer of the surname Demers.
|
E518270
|
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: Guy Demers | Statement: [Demers, hasNotableBearer, Guy Demers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guy Demers Context triple: [Demers, hasNotableBearer, Guy Demers]
-
A.
Louis-Philippe Demers
Louis-Philippe Demers was a Canadian lawyer and politician who served as a Liberal member of the House of Commons in the early 20th century.
-
B.
Cédric Champeau
Cédric Champeau is a prominent software engineer best known for his major contributions to the Groovy programming language and its ecosystem.
-
C.
Charles Daoust
Charles Daoust was a 19th-century Canadian journalist, lawyer, and politician from Quebec associated with the radical liberal Parti rouge movement.
-
D.
Marc Tardif
Marc Tardif is a former Canadian professional ice hockey forward best known as one of the most prolific scorers in World Hockey Association history.
-
E.
Jean-Pierre Demers
Jean-Pierre Demers is a relatively obscure individual whose specific public achievements or biographical details are not widely documented.
- 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: Guy Demers Triple: [Demers, hasNotableBearer, Guy Demers]
Generated description
Guy Demers is an individual notable enough to be specifically cited as a bearer of the surname Demers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guy Demers Target entity description: Guy Demers is an individual notable enough to be specifically cited as a bearer of the surname Demers.
-
A.
Louis-Philippe Demers
Louis-Philippe Demers was a Canadian lawyer and politician who served as a Liberal member of the House of Commons in the early 20th century.
-
B.
Cédric Champeau
Cédric Champeau is a prominent software engineer best known for his major contributions to the Groovy programming language and its ecosystem.
-
C.
Charles Daoust
Charles Daoust was a 19th-century Canadian journalist, lawyer, and politician from Quebec associated with the radical liberal Parti rouge movement.
-
D.
Marc Tardif
Marc Tardif is a former Canadian professional ice hockey forward best known as one of the most prolific scorers in World Hockey Association history.
-
E.
Jean-Pierre Demers
Jean-Pierre Demers is a relatively obscure individual whose specific public achievements or biographical details are not widely documented.
- 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_69bd43d8f7248190b64c140734b5c9a8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd8631ca2c8190856258bf340f6e5d |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3a9153d48190ae9263dc9073271c |
completed | March 22, 2026, 12:40 a.m. |
| NEDg | Description generation | batch_69bf3b8c34d8819085bc9e0266c62a97 |
completed | March 22, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf3bd788ec8190b17d9ddad3bb4a96 |
completed | March 22, 2026, 12:46 a.m. |
Created at: March 20, 2026, 2:02 p.m.