Triple
T38436453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugene Dynkin |
E903954
|
entity |
| Predicate | dateOfMigration |
P115351
|
FINISHED |
| Object | 1976 |
—
|
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: 1976 | Statement: [Eugene Dynkin, dateOfMigration, 1976]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfMigration Context triple: [Eugene Dynkin, dateOfMigration, 1976]
-
A.
dateOfTransfer
Indicates the specific date on which a transfer of something (such as ownership, rights, or funds) from one party to another takes place.
-
B.
timeOfMigration
chosen
Indicates the specific time or period during which a migration event occurs.
-
C.
dateOfConversion
Indicates the specific date on which an entity changed status, form, or affiliation (e.g., religious, legal, or organizational conversion).
-
D.
deFactoTransferDate
Indicates the date on which control or ownership is effectively transferred in practice, regardless of the formal or legal transfer date.
-
E.
officeTransferredAt
Indicates the time or date at which an office (or official position) was transferred from one holder or location to another.
- 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_69f76e6a2024819081aa04f4932f89d2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe779248c081909f0ed1a2a0df23db |
completed | May 8, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69fe76eaf6d48190998bc7168749cc42 |
completed | May 8, 2026, 11:51 p.m. |
Created at: May 3, 2026, 4:31 p.m.