Triple
T37083825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie-Laure de Noailles |
E918227
|
entity |
| Predicate | supportedFilmmaker |
—
|
GENERATED |
| Object | Luis Buñuel |
—
|
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: supportedFilmmaker Context triple: [Marie-Laure de Noailles, supportedFilmmaker, Luis Buñuel]
-
A.
supportedActor
Indicates that one entity provided assistance, resources, or endorsement to another entity (the supported actor).
-
B.
supportingMusicians
Indicates a relationship where one or more musicians provide accompaniment, reinforcement, or auxiliary performance support to another primary musical act or musician.
-
C.
sponsorTo
chosen
Indicates that one entity provides support, funding, or endorsement to another entity, typically to enable or promote the latter’s activities or initiatives.
-
D.
supportedAct
Indicates that one entity provided assistance, endorsement, or backing for a particular action or activity performed by another entity.
-
E.
supportSeriesOf
Indicates a relationship where one entity provides ongoing backing or assistance to a sequence or set of related actions, events, or items.
- 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_69f76e9952b88190a6fe01ba01476520 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:14 p.m.