Triple
T5444211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moshe Cordovero |
E122207
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Tomer Devorah |
E118817
|
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: Tomer Devorah | Statement: [Moshe Cordovero, notableWork, Tomer Devorah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomer Devorah Context triple: [Moshe Cordovero, notableWork, Tomer Devorah]
-
A.
Tomer Devorah
chosen
Tomer Devorah is a seminal Kabbalistic ethical treatise by Rabbi Moshe Cordovero that guides readers in imitating the divine attributes of mercy and compassion.
-
B.
Yoni Brenner
Yoni Brenner is a screenwriter and humorist known for his work on animated films, including contributing to the screenplay of "Rio 2."
-
C.
Yona Wallach
Yona Wallach was an influential Israeli poet known for her experimental, provocative, and psychologically charged Hebrew poetry that challenged social and sexual norms.
-
D.
Omri Katz
Omri Katz is an American former child actor best known for playing Max Dennison in the 1993 Disney film "Hocus Pocus."
-
E.
Ayelet Zurer
Ayelet Zurer is an Israeli actress known internationally for her roles in films such as "Angels & Demons," "Munich," and "Man of Steel."
- 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_69bd4640f52c81909e653ec361f66d76 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91ccdd648190940c04781c4222ec |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4132bcf08190af2ca506a40fb26e |
completed | March 22, 2026, 1:09 a.m. |
Created at: March 20, 2026, 2:07 p.m.