Triple

T36186623
Position Surface form Disambiguated ID Type / Status
Subject Ran E1046863 entity
Predicate notableWork P4 FINISHED
Object Commentary on tractate Nedarim
Commentary on tractate Nedarim is a major Talmudic commentary on the tractate Nedarim, authored by the medieval rabbinic scholar the Ran (Rabbenu Nissim of Gerona).
E2174102 NE 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: Commentary on tractate Nedarim | Statement: [Ran, notableWork, Commentary on tractate Nedarim]
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: Commentary on tractate Nedarim
Triple: [Ran, notableWork, Commentary on tractate Nedarim]
Generated description
Commentary on tractate Nedarim is a major Talmudic commentary on the tractate Nedarim, authored by the medieval rabbinic scholar the Ran (Rabbenu Nissim of Gerona).

Provenance (5 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_69f76e3d4fbc81908c159c7beeb4ce00 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b51473888190a5668f3a0ae248c4 completed May 3, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a393411cf2481909563dab50468a194 completed June 22, 2026, 1:09 p.m.
NEDg Description generation batch_6a3935adb5c88190b267686d7d10a817 completed June 22, 2026, 1:16 p.m.
NED2 Entity disambiguation (via description) batch_6a39366f3ecc8190b9eadda7e09f14f6 completed June 22, 2026, 1:19 p.m.
Created at: May 3, 2026, 4:08 p.m.