Triple
T7448933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonya Gromeko |
E171955
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Boris Pasternak |
E81170
|
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: Boris Pasternak | Statement: [Tonya Gromeko, creator, Boris Pasternak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boris Pasternak Context triple: [Tonya Gromeko, creator, Boris Pasternak]
-
A.
Boris Pasternak
chosen
Boris Pasternak was a Russian poet and novelist best known internationally for his novel "Doctor Zhivago," which earned him the Nobel Prize in Literature in 1958.
-
B.
Leonid Pasternak
Leonid Pasternak was a Russian Impressionist painter and illustrator known for his portraits and his association with the literary and artistic circles of late Imperial Russia.
-
C.
Peter Pasternak
Peter Pasternak is known primarily as the son of famed Hollywood film producer Joe Pasternak.
-
D.
Ivan Bunin
Ivan Bunin was a Russian writer and poet, renowned for his masterful prose and as the first Russian recipient of the Nobel Prize in Literature.
-
E.
Joe Pasternak
Joe Pasternak was a prominent Hollywood film producer best known for his successful musicals and light comedies from the 1930s through the 1950s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c68a65402881908f7869368eb746fb |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f389ddd48190a4b8753c67220c4f |
completed | March 27, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827b0e9848190b28ff10b12b10a33 |
completed | March 28, 2026, 7:10 p.m. |
Created at: March 27, 2026, 3:14 p.m.