Triple
T31431597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenites |
E801810
|
entity |
| Predicate | relationshipToAmalekites |
P207427
|
FINISHED |
| Object | dwelt among Amalek |
—
|
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: dwelt among Amalek | Statement: [Kenites, relationshipToAmalekites, dwelt among Amalek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToAmalekites Context triple: [Kenites, relationshipToAmalekites, dwelt among Amalek]
-
A.
relationshipToJews
Indicates how an entity is related or connected to Jewish people, communities, or Judaism.
-
B.
relationshipToHeed
Indicates a relationship in which one entity is expected to pay attention to, respect, or follow the guidance, warnings, or wishes of another entity.
-
C.
relationshipToRadamès
Indicates the specific type of personal or social relationship an entity has with Radamès.
-
D.
relationToKhalidIbnAlWalid
Indicates a relationship or association that an entity has with Khalid ibn al-Walid.
-
E.
relationshipToAli
Indicates the specific type of relationship or connection that one entity has to Ali.
- F. None of above. chosen
Provenance (4 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_69f348c475348190bf579ca858eec77c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 30, 2026, 8:58 p.m.