Triple
T33283762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chopin piano works recordings |
E852122
|
entity |
| Predicate | languageOfBooklet |
P48899
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Chopin piano works recordings, languageOfBooklet, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfBooklet Context triple: [Chopin piano works recordings, languageOfBooklet, English]
-
A.
languageOfBooks
Indicates the language in which the referenced books are written or published.
-
B.
languageOfManuscript
Indicates the language in which a given manuscript is written.
-
C.
languageOfProduct
chosen
Indicates the language in which a product is written, labeled, presented, or otherwise made available.
-
D.
presentedInLanguage
Indicates that something (such as content, information, or a work) is expressed or made available using a particular language.
-
E.
languageOfSupportMaterials
Indicates the language in which support or help materials are provided or made available.
- 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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a001540d4f881908a4688881875e774 |
completed | May 10, 2026, 5:18 a.m. |
| PD | Predicate disambiguation | batch_6a0014a8cdd88190a67a90a2df2c5e18 |
completed | May 10, 2026, 5:16 a.m. |
Created at: May 1, 2026, 1:32 a.m.