Triple
T10736418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seder Moed |
E253205
|
entity |
| Predicate | hasCommentary |
P22246
|
FINISHED |
| Object | Rashi |
E81588
|
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: Rashi | Statement: [Seder Moed, hasCommentary, Rashi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rashi Context triple: [Seder Moed, hasCommentary, Rashi]
-
A.
Rashi
chosen
Rashi was an influential 11th-century French rabbi and scholar renowned for his comprehensive commentaries on the Hebrew Bible and Talmud.
-
B.
Dahn Ben Amotz
Dahn Ben Amotz was an Israeli writer, satirist, and radio broadcaster known for his influential role in shaping modern Israeli culture and humor.
-
C.
Meshech
Meshech is a biblical people or region mentioned in the Hebrew Bible, often listed among northern nations and associated with prophetic visions of distant lands and future conflicts.
-
D.
Leshon Bukharim
Leshon Bukharim is the traditional Jewish dialect of Tajik spoken historically by the Bukharan Jewish community of Central Asia.
-
E.
Rabba
Rabba is a modern honorific title used to refer to a female rabbi in some Jewish communities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71022aee0819091a5790d3dee6777 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22cc4edc8190a7ab45e57ed94c47 |
completed | April 14, 2026, 11:19 a.m. |
Created at: April 8, 2026, 9:14 p.m.