Triple
T35709405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Un bon bock |
E1031810
|
entity |
| Predicate | firstScreeningVenue |
—
|
GENERATED |
| Object | Musée Grévin |
—
|
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: firstScreeningVenue Context triple: [Un bon bock, firstScreeningVenue, Musée Grévin]
-
A.
screeningVenue
chosen
Indicates the place or location where a screening (such as a film or event showing) takes place.
-
B.
firstScreeningLocation
Indicates the location where something (such as a person, item, or case) is initially screened or evaluated for the first time.
-
C.
firstScreeningEvent
Indicates the event representing the earliest or initial screening occurrence associated with an entity.
-
D.
firstTestVenue
Indicates the venue where something (such as an event, performance, or test) was held or conducted for the first time.
-
E.
firstODIVenue
Indicates that the subject is the venue where an ODI (One Day International) cricket match was first held or hosted.
- 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_69f76e0df1d08190965b1c6dff94c391 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:05 p.m.