Triple
T23293446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camille Plante |
E590096
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Camille Plante |
—
|
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: Camille Plante | Statement: [Camille Plante, name, Camille Plante]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camille Plante Context triple: [Camille Plante, name, Camille Plante]
-
A.
Camille Plante
chosen
Camille Plante is a person notable enough to be recognized as a bearer of the surname Plante.
-
B.
Jean Plante
Jean Plante is a person notable enough to be recognized as a significant bearer of the surname Plante.
-
C.
Raymond Plante
Raymond Plante is a Canadian science fiction and fantasy author known for his imaginative storytelling and contributions to francophone literature.
-
D.
Alfred Plante
Alfred Plante is an individual notable enough to be recognized as a bearer of the surname Plante.
-
E.
Oscar Plante
Oscar Plante is a notable individual who carries the surname Plante, recognized enough to be specifically cited as a bearer of the name.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196ccd9b481909ab5d3504640025e |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:02 p.m.