Triple
T5654956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frieda Schiff Warburg |
E124593
|
entity |
| Predicate | yearOfDonation |
P3053
|
FINISHED |
| Object | 1944 |
—
|
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: 1944 | Statement: [Frieda Schiff Warburg, yearOfDonation, 1944]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfDonation Context triple: [Frieda Schiff Warburg, yearOfDonation, 1944]
-
A.
donationYear
chosen
Indicates the specific calendar year in which a donation or gift was made.
-
B.
designationYear
Indicates the year in which something was formally designated, assigned, or given an official status.
-
C.
ordinationYear
Indicates the year in which an individual was formally ordained to a religious office or role.
-
D.
authorizationYear
Indicates the year in which an official approval, permission, or authorization for something was granted.
-
E.
donated
Indicates that one entity voluntarily gave something of value (such as money, goods, or time) to another entity, typically without expecting anything in return.
- 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_69c0082774a481909d7e63fb2aad56ac |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022f998688190b18eb6469e8c054f |
completed | March 22, 2026, 5:12 p.m. |
| PD | Predicate disambiguation | batch_69c01b2274b48190b2ef57ed728f785c |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:42 p.m.