Triple
T36174449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curie Hospital |
E1046541
|
entity |
| Predicate | hasNotableNamesakeOccupation |
—
|
GENERATED |
| Object | physicist |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableNamesakeOccupation Context triple: [Curie Hospital, hasNotableNamesakeOccupation, physicist]
-
A.
hasNotableNamesakeContribution
Indicates that an entity has made a significant contribution specifically related to or inspired by its notable namesake.
-
B.
notableNamesakeOccupation
chosen
Indicates that an entity is named after a notable person whose occupation or professional role is specified by the related value.
-
C.
hasFamousNamesake
Indicates that an entity shares its name with another well-known or notable entity.
-
D.
hasNotableNamesakeType
Indicates that an entity has a notable namesake of a specified type (such as a person, place, or work) that shares its name.
-
E.
hasNamesakeNotability
Indicates that one entity is notable or recognized specifically because it shares the same name as another entity.
- F. None of above.
Provenance (1 batch)
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_69f76e3c1b10819081fc7a807a71cf84 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:08 p.m.