Triple
T9962314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annie Proulx |
E195597
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Proulx
Proulx is a French-origin surname most prominently associated with the American author Annie Proulx, known for her fiction set in rural and rugged landscapes.
|
E831993
|
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: Proulx | Statement: [Annie Proulx, familyName, Proulx]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Proulx Context triple: [Annie Proulx, familyName, Proulx]
-
A.
Vallière
Vallière is a river in eastern France that flows through the town of Lons-le-Saunier in the Jura department.
-
B.
Blanchet
Blanchet is a French-origin surname borne by various notable individuals in politics, arts, and other fields.
-
C.
Lisette Charbonneau
Lisette Charbonneau was the daughter of Sacagawea and Toussaint Charbonneau, born during or shortly after the Lewis and Clark Expedition era.
-
D.
Desmarais
Desmarais is a French surname, often associated with notable families and individuals in business, politics, and the arts.
-
E.
Bessette
Bessette is a French-origin surname notably associated with Carolyn Bessette-Kennedy, the late wife of John F. Kennedy Jr.
- 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: Proulx Triple: [Annie Proulx, familyName, Proulx]
Generated description
Proulx is a French-origin surname most prominently associated with the American author Annie Proulx, known for her fiction set in rural and rugged landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Proulx Target entity description: Proulx is a French-origin surname most prominently associated with the American author Annie Proulx, known for her fiction set in rural and rugged landscapes.
-
A.
Vallière
Vallière is a river in eastern France that flows through the town of Lons-le-Saunier in the Jura department.
-
B.
Blanchet
Blanchet is a French-origin surname borne by various notable individuals in politics, arts, and other fields.
-
C.
Lisette Charbonneau
Lisette Charbonneau was the daughter of Sacagawea and Toussaint Charbonneau, born during or shortly after the Lewis and Clark Expedition era.
-
D.
Desmarais
Desmarais is a French surname, often associated with notable families and individuals in business, politics, and the arts.
-
E.
Bessette
Bessette is a French-origin surname notably associated with Carolyn Bessette-Kennedy, the late wife of John F. Kennedy Jr.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb6d37f0c8190946b958c399f3250 |
completed | April 2, 2026, 12:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d904bbc8190ac0b28600ed2e709 |
completed | April 5, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_69d23fa1e3288190b755b3966178ad52 |
completed | April 5, 2026, 10:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d24077720c81909a43ff56627095a1 |
completed | April 5, 2026, 10:59 a.m. |
Created at: March 30, 2026, 8:47 p.m.