Triple
T36380801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cello Concerto in E minor |
E896038
|
entity |
| Predicate | composerBirthCountryAtBirth |
P89959
|
FINISHED |
| Object | Russian Empire |
—
|
NE NERFINISHED |
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: Russian Empire | Statement: [Cello Concerto in E minor, composerBirthCountryAtBirth, Russian Empire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: composerBirthCountryAtBirth Context triple: [Cello Concerto in E minor, composerBirthCountryAtBirth, Russian Empire]
-
A.
creatorCountryOfBirth
Indicates the country where the creator of an entity was born.
-
B.
countryOfBirthAtTime
chosen
Indicates that an entity was born in a specified country, with the relationship qualified by a particular point or interval in time.
-
C.
subjectBirthCountry
Indicates the country in which the subject was born.
-
D.
countryOfOriginOfComposer
Indicates the country from which a composer originates or is associated as their place of origin.
-
E.
creatorPlaceOfBirth
Indicates that the place specified is the location where the creator of an entity was born.
- 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_69f76e51d358819092bbc5f119f49476 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fdd5fba5048190b7d430ae2054a1fd |
completed | May 8, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69fdd35f76f88190a1854ea27132f9c7 |
completed | May 8, 2026, 12:13 p.m. |
Created at: May 3, 2026, 4:10 p.m.