Triple
T32964447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johann-Heinrich-Voß-Preis für Übersetzung |
E843329
|
entity |
| Predicate | namedAfterBirthYear |
P183751
|
FINISHED |
| Object | 1751 |
—
|
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: 1751 | Statement: [Johann-Heinrich-Voß-Preis für Übersetzung, namedAfterBirthYear, 1751]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedAfterBirthYear Context triple: [Johann-Heinrich-Voß-Preis für Übersetzung, namedAfterBirthYear, 1751]
-
A.
namedAfterDateOfBirth
Indicates that something (such as a person, event, or entity) is named after a specific date corresponding to a birth.
-
B.
bornAfter
Indicates that one entity’s birth occurred later in time than another entity’s birth.
-
C.
bornDuring
Indicates that an entity’s birth occurred within the temporal span of a specified event, period, or time interval.
-
D.
childBirthYear
Indicates the calendar year in which a child of the given parent was born.
-
E.
yearOfBirth
Indicates the specific calendar year in which an entity was born.
- F. None of above. chosen
Provenance (4 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_69f3494af2808190ad98cec2f1bc0fe6 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7a283388c81908e4a9ee3369e8d6f |
completed | May 3, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a224365081908ff6958e3b30bd05 |
completed | May 3, 2026, 7:29 p.m. |
Created at: May 1, 2026, 1:21 a.m.