Triple
T19190951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iolanta |
E469833
|
entity |
| Predicate | firstPublisher |
P7323
|
FINISHED |
| Object | P. Jurgenson |
—
|
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: P. Jurgenson | Statement: [Iolanta, firstPublisher, P. Jurgenson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: P. Jurgenson Context triple: [Iolanta, firstPublisher, P. Jurgenson]
-
A.
P. Jurgenson
chosen
P. Jurgenson was a prominent Russian music publishing house known for issuing works by major composers of the 19th century, including Pyotr Ilyich Tchaikovsky.
-
B.
Matthew Jensen
Matthew Jensen is a cinematographer best known for his work on major films such as the 2017 superhero movie "Wonder Woman."
-
C.
David Jensen
David Jensen is a musician known for his work with the soft rock/R&B-influenced indie supergroup Gayngs.
-
D.
Jordan K. Johnson
Jordan K. Johnson is a music producer known for his work on contemporary pop and electronic tracks.
-
E.
Brett Jutkiewicz
Brett Jutkiewicz is an American cinematographer known for his work on contemporary horror and independent films, including entries in the Scream franchise.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a226dc8190a8a96960a4180298 |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 10, 2026, 12:07 p.m.