Triple
T8362019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nemyriv, Russian Empire |
E197028
|
entity |
| Predicate | birthYearOfNotablePerson |
P11702
|
FINISHED |
| Object | 1900 (Theodosius Dobzhansky) |
—
|
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: 1900 (Theodosius Dobzhansky) | Statement: [Nemyriv, Russian Empire, birthYearOfNotablePerson, 1900 (Theodosius Dobzhansky)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: birthYearOfNotablePerson Context triple: [Nemyriv, Russian Empire, birthYearOfNotablePerson, 1900 (Theodosius Dobzhansky)]
-
A.
yearOfBirth
Indicates the specific calendar year in which an entity was born.
-
B.
authorBirthYear
Indicates the year in which the author of a work or text was born.
-
C.
notableBearerBirthYear
chosen
Indicates the year in which a notable bearer of the referenced name, title, or identifier was born.
-
D.
creatorBirthDate
Indicates the date on which the creator of an entity was born.
-
E.
birthDateOfNotableResident
Indicates the date of birth of a person who is a notable or distinguished resident of a given place.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8074e4588190b394d1622adca2cb |
completed | March 31, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6 p.m.