Triple
T11081667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michel Goulet |
E262009
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Goulet
Goulet is a French-origin surname borne by various notable individuals in fields such as politics, arts, and sports.
|
E903781
|
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: Goulet | Statement: [Michel Goulet, familyName, Goulet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goulet Context triple: [Michel Goulet, familyName, Goulet]
-
A.
Choully
Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
-
B.
Surpierre
Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
-
C.
Choulex
Choulex is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the city of Geneva.
-
D.
Ganthier
Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
-
E.
Guerin
Guerin is a surname of French origin borne by various notable individuals across fields such as arts, sports, and public life.
- 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: Goulet Triple: [Michel Goulet, familyName, Goulet]
Generated description
Goulet is a French-origin surname borne by various notable individuals in fields such as politics, arts, and sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Goulet Target entity description: Goulet is a French-origin surname borne by various notable individuals in fields such as politics, arts, and sports.
-
A.
Choully
Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
-
B.
Surpierre
Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
-
C.
Choulex
Choulex is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the city of Geneva.
-
D.
Ganthier
Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
-
E.
Guerin
Guerin is a surname of French origin borne by various notable individuals across fields such as arts, sports, and public life.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799985650819089b2c0f35a212414 |
completed | April 9, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e789d7248190a40de0bdda539f45 |
completed | April 18, 2026, 8:20 p.m. |
| NEDg | Description generation | batch_69e3f2c889dc81909a04c1db0509e3d9 |
completed | April 18, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3f4746dbc8190a0e28202ad5e6b4f |
completed | April 18, 2026, 9:15 p.m. |
Created at: April 8, 2026, 9:27 p.m.