Triple
T993362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Coronation |
E21440
|
entity |
| Predicate | firstPerformedInPeriod |
P4982
|
FINISHED |
| Object | Caroline era |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Caroline era | Statement: [The Coronation, firstPerformedInPeriod, Caroline era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPerformedInPeriod Context triple: [The Coronation, firstPerformedInPeriod, Caroline era]
-
A.
firstPerformance
chosen
Indicates that an entity marks the initial or debut performance of another entity, such as a work, artist, or production.
-
B.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
C.
firstUsedFor
Indicates that one entity was the earliest or original thing for which another entity was used or applied.
-
D.
firstCreatedAt
Indicates the time or date at which an entity was initially created for the first time.
-
E.
firstCycleYear
Indicates the year in which the first cycle, phase, or iteration of a recurring process begins.
- F. None of above.
Provenance (3 batches)
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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4c5e16881908cd5f7ba2fcd5084 |
completed | March 1, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69a4b2adbde48190b07966d0c3179516 |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:41 p.m.