Triple
T18013486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Édouard Cyrille Lalonde |
E430941
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Cyrille |
—
|
NE NERFINISHED |
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: Cyrille | Statement: [Édouard Cyrille Lalonde, middleName, Cyrille]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cyrille Context triple: [Édouard Cyrille Lalonde, middleName, Cyrille]
-
A.
Cyrille
chosen
Cyrille is the French given name of early 20th-century Canadian ice hockey star Newsy Lalonde.
-
B.
Aurélien
Aurélien is a French given name commonly used for males, derived from the Latin name Aurelianus.
-
C.
Sylvain
Sylvain is a masculine given name of French origin commonly used in Francophone countries.
-
D.
Clément
Clément is a French given name, equivalent to Clement in English, commonly used for males.
-
E.
Valère
Valère is a character in Molière’s comedy "Tartuffe," known as Mariane’s suitor and a foil to the hypocrisy embodied by Tartuffe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b521befc81908dff44f19aa3d580 |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.