Triple
T21371914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilm Hosenfeld |
E527085
|
entity |
| Predicate | yearOfYadVashemRecognition |
P8111
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [Wilm Hosenfeld, yearOfYadVashemRecognition, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfYadVashemRecognition Context triple: [Wilm Hosenfeld, yearOfYadVashemRecognition, 2009]
-
A.
yearHonored
chosen
Indicates the specific year in which an entity received an honor, award, or formal recognition.
-
B.
numberOfJewsSaved
Indicates the quantity of Jewish individuals who were rescued or preserved from harm, danger, or persecution in a given context.
-
C.
commemoratedYear
Indicates the specific year in which an event, person, or entity is formally remembered, honored, or celebrated.
-
D.
commemoratesPersonDeathYear
Indicates that something marks, honors, or is associated with the year in which a specific person died.
-
E.
memorializesVictimsFrom
Indicates that something serves as a memorial specifically honoring victims originating from a particular place or event.
- 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0af44d88190aedd3b2127bb297d |
completed | April 22, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:10 p.m.