Triple
T16982123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrebonne |
E411969
|
entity |
| Predicate | locatedInProvincialRiding |
P40
|
FINISHED |
| Object | Masson |
E208705
|
NE FINISHED |
How this triple was built (2 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: Masson | Statement: [Terrebonne, locatedInProvincialRiding, Masson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masson Context triple: [Terrebonne, locatedInProvincialRiding, Masson]
-
A.
Masson
Masson is a French surname borne by various notable individuals across fields such as winemaking, literature, and the arts.
-
B.
Masson-Angers
chosen
Masson-Angers is a former municipality in western Quebec, Canada, that now forms a sector within the city of Gatineau.
-
C.
Mistinguett
Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
-
D.
Michaux
Michaux is a French-language surname most notably borne by the Belgian poet and painter Henri Michaux.
-
E.
Tournier
Tournier is a surname of French origin, sometimes used as a variant of the English surname Turner.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d18830ac8190a20c89a87379ae94 |
completed | April 18, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d479610c8190a6281e6d4959b820 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:32 a.m.