Triple
T23293445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camille Plante |
E590096
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | 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: Plante | Statement: [Camille Plante, hasSurname, Plante]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plante Context triple: [Camille Plante, hasSurname, Plante]
-
A.
Plante
chosen
Plante is a French-origin surname commonly found in Canada and other Francophone regions, associated with several notable figures in sports, politics, and the arts.
-
B.
Piantas
Piantas are a race of tall, palm tree–like humanoid inhabitants of Isle Delfino in the Super Mario series, best known for their prominent role in Super Mario Sunshine.
-
C.
Planté
Planté is a small settlement located within the municipality of Valgrisenche in Italy's Aosta Valley region.
-
D.
Plantage
Plantage is a historic and culturally rich neighborhood in Amsterdam known for its green spaces, museums, and attractions like Artis Zoo and the Hortus Botanicus.
-
E.
The Plant
The Plant is the nickname for Doncaster Works, a major historic railway engineering and locomotive-building facility in Doncaster, England.
- 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.