Triple
T242433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Beggar's Opera |
E4960
|
entity |
| Predicate | firstPerformanceDate |
P4982
|
FINISHED |
| Object | 1728-01-29 |
—
|
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: 1728-01-29 | Statement: [The Beggar's Opera, firstPerformanceDate, 1728-01-29]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPerformanceDate Context triple: [The Beggar's Opera, firstPerformanceDate, 1728-01-29]
-
A.
firstPerformance
chosen
Indicates that an entity marks the initial or debut performance of another entity, such as a work, artist, or production.
-
B.
firstSuccessfulLaunchDate
Indicates the calendar date on which an entity achieved its first successful launch.
-
C.
inceptionDate
Indicates the date on which an entity, event, or relationship was first created, established, or began to exist.
-
D.
firstDeployed
Indicates the time or event when something (such as a system, product, or resource) was initially put into active use or operation.
-
E.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d35aa288190966b6e15af1525cb |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b60ad308190b12f119960a8bde7 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.