Triple
T37650871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | רבי משה איסרליש |
E937167
|
entity |
| Predicate | קרוב משפחה |
P158544
|
FINISHED |
| Object |
רבי ישראל איסרלין (יחוס מסורתי)
רבי ישראל איסרלין היה מגדולי פוסקי אשכנז במאה ה-15, מחבר ספר "תרומת הדשן" ואחד מעמודי ההוראה המרכזיים בהלכה האשכנזית.
|
E2237552
|
NE FINISHED |
How this triple was built (3 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: רבי ישראל איסרלין (יחוס מסורתי) | Statement: [רבי משה איסרליש, קרוב משפחה, רבי ישראל איסרלין (יחוס מסורתי)]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: רבי ישראל איסרלין (יחוס מסורתי) Triple: [רבי משה איסרליש, קרוב משפחה, רבי ישראל איסרלין (יחוס מסורתי)]
Generated description
רבי ישראל איסרלין היה מגדולי פוסקי אשכנז במאה ה-15, מחבר ספר "תרומת הדשן" ואחד מעמודי ההוראה המרכזיים בהלכה האשכנזית.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: קרוב משפחה Context triple: [רבי משה איסרליש, קרוב משפחה, רבי ישראל איסרלין (יחוס מסורתי)]
-
A.
القرابة
chosen
Indicates a kinship relationship or familial connection between two entities.
-
B.
קרובה ל
Indicates that one entity is physically or conceptually near or close to another entity.
-
C.
סיבת מוות
Indicates the cause or reason that led to an entity’s death.
-
D.
الزوجة
Indicates that one entity is the wife (spouse in a marital relationship) of another entity.
-
E.
مهنة الأب
Indicates the occupation or profession held by the father.
- F. None of above.
Provenance (6 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_69f76ed4fe908190b8061c5c135e0971 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa1321b48190af92a3e7ec24ec5b |
completed | May 6, 2026, 8:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40ba5254cc81908789bf9baee289a1 |
completed | June 28, 2026, 6:08 a.m. |
| NEDg | Description generation | batch_6a40bbd7ea208190b39dc9371f59aba4 |
completed | June 28, 2026, 6:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a40bc72e8948190808fcb0c69ab7200 |
completed | June 28, 2026, 6:17 a.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.