Triple
T5062189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rabbi Eleazar ben Shimon |
E114046
|
entity |
| Predicate | sourceCategory |
P61039
|
FINISHED |
| Object | figure in Talmudic narratives |
—
|
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: figure in Talmudic narratives | Statement: [Rabbi Eleazar ben Shimon, sourceCategory, figure in Talmudic narratives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceCategory Context triple: [Rabbi Eleazar ben Shimon, sourceCategory, figure in Talmudic narratives]
-
A.
source
Indicates that something originates from, is derived from, or is provided by a particular entity or location.
-
B.
usesSourceType
Indicates that one entity makes use of, relies on, or operates based on a particular type or category of source.
-
C.
sourceState
Indicates the original or starting state from which a transition, change, or process begins.
-
D.
sourceMaterialType
Indicates the type or category of material from which something originates or is derived.
-
E.
canonicalCategory
Indicates that an entity is assigned to its primary or standard category within a classification system.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7475be3c819085cde8ec544c407e |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd715622b48190a3e8e49a5ef62b4a |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd738ac2e0819099c06cdcc5e21d28 |
completed | March 20, 2026, 4:19 p.m. |
Created at: March 20, 2026, 1:38 p.m.