Triple
T14027941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eliezer Waldenberg |
E337510
|
entity |
| Predicate | typeOfRabbi |
P16856
|
FINISHED |
| Object | Haredi rabbi |
—
|
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: Haredi rabbi | Statement: [Eliezer Waldenberg, typeOfRabbi, Haredi rabbi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfRabbi Context triple: [Eliezer Waldenberg, typeOfRabbi, Haredi rabbi]
-
A.
roleInJudaism
chosen
Indicates the specific religious, social, or institutional function an entity holds within the context of Judaism.
-
B.
roleInTalmud
Indicates that one entity holds a specific role, function, or status within the context of the Talmud.
-
C.
hasNotableRabbi
Indicates that an entity is associated with a rabbi who is recognized as notable or distinguished.
-
D.
religiousFigureType
Indicates the specific role or category of a person recognized as a religious figure (e.g., priest, monk, prophet) within a religious context.
-
E.
rabbinicSource
Indicates that one entity serves as a rabbinic or Talmudic source or authority for the other.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa830ac81908cb7df7c9e81e42a |
completed | April 14, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.