Triple
T34820151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Award for Best Special Theatrical Event |
E1003747
|
entity |
| Predicate | firstCeremonyYear |
—
|
GENERATED |
| Object | 2001 Tony Awards |
—
|
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: firstCeremonyYear Context triple: [Tony Award for Best Special Theatrical Event, firstCeremonyYear, 2001 Tony Awards]
-
A.
firstCeremony
chosen
Indicates that an entity participates in or is associated with the earliest or initial ceremony in a sequence or context.
-
B.
firstCeremonyAssociatedEvent
Indicates that an event is the earliest or initial event associated with a particular ceremony.
-
C.
ceremonyYear
Indicates the year in which a particular ceremony took place.
-
D.
firstCelebratedInYear
Indicates the year in which something (such as an event, holiday, or celebration) was first observed or celebrated.
-
E.
firstAwarded
Indicates the time or occasion when an award, honor, or recognition was given for the very first time.
- 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_69f76db717088190811b4e744610f37d |
completed | May 3, 2026, 3:45 p.m. |
Created at: May 3, 2026, 4 p.m.