Triple
T872902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sleeping Prince |
E18852
|
entity |
| Predicate | dateOfFirstPerformance |
P21118
|
FINISHED |
| Object | 1953 |
—
|
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: 1953 | Statement: [The Sleeping Prince, dateOfFirstPerformance, 1953]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfFirstPerformance Context triple: [The Sleeping Prince, dateOfFirstPerformance, 1953]
-
A.
firstPerformance
Indicates that an entity marks the initial or debut performance of another entity, such as a work, artist, or production.
-
B.
firstPerformanceFestival
Indicates the festival at which an entity (such as a work or performance) was first publicly performed.
-
C.
firstPerformanceWork
Indicates that a performance is the debut or initial presentation of a particular work.
-
D.
firstPerformanceOpera
Indicates the relationship in which an opera work is presented in its first-ever performance.
-
E.
firstAppearedAt
Indicates the point in time or specific event at which an entity was first introduced, observed, or became known.
- F. None of above. chosen
Provenance (4 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac97d0f88190b67fcb7fc058e4b9 |
completed | March 1, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69a4aa8b9b5c81909ac71904f8b8b5cd |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4abb157d08190a7d7281eb3f1b788 |
completed | March 1, 2026, 9:12 p.m. |
Created at: March 1, 2026, 7:39 p.m.