Triple
T8881947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Symphony No. 10 in F-sharp major |
E211431
|
entity |
| Predicate | firstCompleteVersionPremiereDate |
P85503
|
FINISHED |
| Object | 1964 |
—
|
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: 1964 | Statement: [Symphony No. 10 in F-sharp major, firstCompleteVersionPremiereDate, 1964]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCompleteVersionPremiereDate Context triple: [Symphony No. 10 in F-sharp major, firstCompleteVersionPremiereDate, 1964]
-
A.
firstVersionYear
Indicates the calendar year in which the first version or initial release of something was created, published, or made available.
-
B.
firstCommercialReleaseYear
Indicates the calendar year in which something (such as a product, work, or service) was first made commercially available to the public.
-
C.
firstImagesReleaseDate
Indicates the date on which the first set of images associated with an entity was initially released.
-
D.
firstGenerationReleaseDate
Indicates the calendar date on which the first generation or initial version of something was officially released.
-
E.
initialReleaseApprox
Indicates that an entity’s first release or debut occurred around an estimated or approximate point in time rather than on a precisely known date.
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc616a01f48190b8bbde0e898a38c7 |
completed | April 1, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2956788190a311c647b4da17a6 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5d6e54808190af4156edd4c8ffbc |
completed | March 31, 2026, 11:49 p.m. |
Created at: March 30, 2026, 6:53 p.m.