Triple
T35399125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bear and the Doll |
E1023170
|
entity |
| Predicate | featuresBrigitteBardotAs |
—
|
GENERATED |
| Object | temperamental socialite |
—
|
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: featuresBrigitteBardotAs Context triple: [The Bear and the Doll, featuresBrigitteBardotAs, temperamental socialite]
-
A.
hasBrigitteBardotRoleType
chosen
Indicates that an entity has a role type specifically associated with Brigitte Bardot (e.g., portraying her or a role category defined in relation to her).
-
B.
characterPortrayedBySandrineBonnaire
Indicates that a character is portrayed or played by the actress Sandrine Bonnaire.
-
C.
characterPlayedBy_Danielle Darrieux
Indicates that a given character is portrayed or acted by Danielle Darrieux.
-
D.
brandKnownFor
Indicates that a brand is widely recognized or associated with a particular product, service, quality, or characteristic.
-
E.
portrayerKnownFor
Indicates that a person is especially recognized or famous for portraying a particular role, character, or work.
- 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_69f76df43ca4819098711ca4370f1bb9 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:03 p.m.