Triple
T113486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hebrew calendar |
E2294
|
entity |
| Predicate | hasMonth |
P6433
|
FINISHED |
| Object |
Kislev
Kislev is a late autumn/early winter month in the Hebrew calendar traditionally associated with the festival of Hanukkah.
|
E15081
|
NE FINISHED |
How this triple was built (4 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: Kislev | Statement: [Hebrew calendar, hasMonth, Kislev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kislev Context triple: [Hebrew calendar, hasMonth, Kislev]
-
A.
Nisan
Nisan is the first month of the Hebrew religious year, traditionally associated with spring and the festival of Passover.
-
B.
Cheshvan
Cheshvan is the eighth month of the Hebrew calendar, traditionally noted for having no major Jewish holidays.
-
C.
Tammuz
Tammuz is the fourth month of the Hebrew religious calendar, traditionally falling in early summer and associated with historical fasts and mourning in Jewish tradition.
-
D.
Sivan
Sivan is the third month of the Hebrew calendar, traditionally associated with the festival of Shavuot and the giving of the Torah.
-
E.
Tishrei
Tishrei is the first month of the Jewish civil year, notable for major holidays such as Rosh Hashanah, Yom Kippur, and Sukkot.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Kislev Triple: [Hebrew calendar, hasMonth, Kislev]
Generated description
Kislev is a late autumn/early winter month in the Hebrew calendar traditionally associated with the festival of Hanukkah.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kislev Target entity description: Kislev is a late autumn/early winter month in the Hebrew calendar traditionally associated with the festival of Hanukkah.
-
A.
Nisan
Nisan is the first month of the Hebrew religious year, traditionally associated with spring and the festival of Passover.
-
B.
Cheshvan
Cheshvan is the eighth month of the Hebrew calendar, traditionally noted for having no major Jewish holidays.
-
C.
Tammuz
Tammuz is the fourth month of the Hebrew religious calendar, traditionally falling in early summer and associated with historical fasts and mourning in Jewish tradition.
-
D.
Sivan
Sivan is the third month of the Hebrew calendar, traditionally associated with the festival of Shavuot and the giving of the Torah.
-
E.
Tishrei
Tishrei is the first month of the Jewish civil year, notable for major holidays such as Rosh Hashanah, Yom Kippur, and Sukkot.
- F. None of above. chosen
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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a25b800d08819099a44429d5c82c68 |
completed | Feb. 28, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2aa43d2948190bc7ec06d157fab9a |
completed | Feb. 28, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69a2ab33e2c88190b53505ffb88cf522 |
completed | Feb. 28, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2abb79ef08190be7101791c291eb9 |
completed | Feb. 28, 2026, 8:47 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.