Triple
T6885061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tribe of Issachar |
E158896
|
entity |
| Predicate | blessingInGenesis49 |
P45623
|
FINISHED |
| Object | strong donkey lying down between the sheepfolds |
—
|
LITERAL 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: strong donkey lying down between the sheepfolds | Statement: [Tribe of Issachar, blessingInGenesis49, strong donkey lying down between the sheepfolds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blessingInGenesis49 Context triple: [Tribe of Issachar, blessingInGenesis49, strong donkey lying down between the sheepfolds]
-
A.
blessingFromMosesText
Indicates that the text expresses or contains a blessing given by Moses.
-
B.
describedAsInJacobBlessing
chosen
Indicates that an entity is characterized or portrayed in the specific manner it appears within Jacob’s blessing narrative (e.g., in Genesis 49).
-
C.
fourthBlessing
Indicates that an entity receives or is associated with the fourth in a sequence of blessings.
-
D.
blessedBy
Indicates that one entity has conferred a blessing, favor, or sacred endorsement upon another entity.
-
E.
firstBlessing
Indicates that an entity is the initial recipient or instance of a blessing in relation to another entity or context.
- F. None of above.
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_69c688342f6c8190ad7eea6ba262db99 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d90a2590819092ff253dd66ebe8b |
completed | March 27, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b53e9881909ec298daa9f1913b |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:23 p.m.