Triple
T935328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ten Plagues of Egypt |
E20181
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object | Passover Haggadah |
E44182
|
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: Passover Haggadah | Statement: [Ten Plagues of Egypt, usedIn, Passover Haggadah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Passover Haggadah Context triple: [Ten Plagues of Egypt, usedIn, Passover Haggadah]
-
A.
Haggadah
chosen
The Haggadah is a Jewish religious text that sets forth the order of the Passover Seder, combining biblical narrative, prayers, and ritual instructions.
-
B.
Machzor
Machzor is a special Jewish prayer book containing the liturgy for major holidays, particularly the High Holy Days such as Yom Kippur and Rosh Hashanah.
-
C.
Siddur
The Siddur is the traditional Jewish prayer book containing the set order of daily, Shabbat, and holiday prayers used in Jewish worship.
-
D.
Megillat Esther
Megillat Esther is the biblical Book of Esther, a scroll read in synagogues that narrates the salvation of the Jews in Persia and forms the scriptural basis for the Jewish festival of Purim.
-
E.
Zohar Manna
Zohar Manna was a pioneering computer scientist known for his foundational work in mathematical logic, program verification, and the formal methods of software correctness.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b363ea5c819098ec1d87f785bad4 |
completed | March 1, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7ee141f188190bf7502870d9351ac |
completed | March 4, 2026, 8:32 a.m. |
Created at: March 1, 2026, 7:40 p.m.