Triple
T32647571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nutcracker (Royal Ballet production) |
E834634
|
entity |
| Predicate | originalSourceAuthor |
P36855
|
FINISHED |
| Object | E. T. A. Hoffmann |
E138443
|
NE 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: E. T. A. Hoffmann | Statement: [The Nutcracker (Royal Ballet production), originalSourceAuthor, E. T. A. Hoffmann]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalSourceAuthor Context triple: [The Nutcracker (Royal Ballet production), originalSourceAuthor, E. T. A. Hoffmann]
-
A.
originalAuthorOfSource
chosen
Indicates that an entity is the original creator or author of a given source or work.
-
B.
originAuthor
Indicates that an entity is the original creator or author of another entity (such as a work, document, or idea).
-
C.
authorOrigin
Indicates that an author has a specific place, region, or country as their origin or background.
-
D.
anonymousAuthorOfSourceWork
Indicates that a person is the (unidentified or unnamed) author of a given source work.
-
E.
authorialSource
Indicates that one entity serves as the originating author or creator of the content, work, or information associated with another entity.
- F. None of above.
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_69f3492e773c81908afc10651e46cad3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a01beacf8a88190ac643a75c7a0efc4 |
completed | May 11, 2026, 11:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3492a7b0288190ac08bbab38a4ba40 |
completed | June 19, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_6a01be152c8c8190bb19d64a683e2aae |
completed | May 11, 2026, 11:31 a.m. |
Created at: May 1, 2026, 1:07 a.m.