Triple
T25043579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corinne Côté |
E627175
|
entity |
| Predicate | keptProfile |
P42756
|
FINISHED |
| Object | relatively private |
—
|
LITERAL 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: relatively private | Statement: [Corinne Côté, keptProfile, relatively private]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keptProfile Context triple: [Corinne Côté, keptProfile, relatively private]
-
A.
keptIn
Indicates that one entity is stored, contained, or maintained inside another entity as its location or container.
-
B.
keptWith
Indicates that one entity is stored, maintained, or held together in association with another entity.
-
C.
profile
Indicates that one entity creates, presents, or analyzes a detailed description or representation of another entity’s characteristics or behavior.
-
D.
keptOn
Indicates that one entity is stored, placed, or maintained on the surface or location of another entity over a period of time.
-
E.
keptLowPublicProfile
chosen
Indicates that an entity deliberately maintained minimal visibility or attention in public or media contexts.
- F. None of above.
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_69e2ff2b4c80819087c916b2b16241b9 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4530d80148190b959bb48ff7e0c2f |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
Created at: April 18, 2026, 6:08 a.m.