Triple
T19514234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | אֱלִישֶׁבַע |
E488235
|
entity |
| Predicate | biblicalFigureNameOf |
P7172
|
FINISHED |
| Object | wife of Aaron |
—
|
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: wife of Aaron | Statement: [אֱלִישֶׁבַע, biblicalFigureNameOf, wife of Aaron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: biblicalFigureNameOf Context triple: [אֱלִישֶׁבַע, biblicalFigureNameOf, wife of Aaron]
-
A.
biblicalFigureRole
Indicates the specific role, function, or office that a biblical figure holds within a biblical narrative or tradition.
-
B.
biblicalFigureFromClan
Indicates that a biblical figure belongs to, originates from, or is associated with a particular clan.
-
C.
associatedBiblicalFigure
Indicates that one entity is linked or connected to a particular biblical figure, such as by reference, attribution, or traditional association.
-
D.
biblicalSourceCharacter
Indicates that one entity is the character or figure that serves as the source or origin for another entity within a biblical context.
-
E.
biblicalName
chosen
Indicates that one entity is the name of a person, place, or concept as it appears in the Bible.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359a7070819099d925447c80bf23 |
completed | April 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.