Triple
T2283514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ishmaelites |
E51332
|
entity |
| Predicate | kinshipRelation |
P7844
|
FINISHED |
| Object | half-kin to Israelites through Abraham |
—
|
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: half-kin to Israelites through Abraham | Statement: [Ishmaelites, kinshipRelation, half-kin to Israelites through Abraham]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kinshipRelation Context triple: [Ishmaelites, kinshipRelation, half-kin to Israelites through Abraham]
-
A.
geneticRelation
Indicates that two entities are connected through a hereditary or familial genetic relationship.
-
B.
hasFamilialTieTo
chosen
Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
-
C.
historicalRelationship
Indicates a relationship that existed between entities in the past, often tied to a specific historical period, context, or event.
-
D.
relationshipType
Indicates the specific kind of relationship that exists between two or more entities.
-
E.
closestLivingRelatives
Indicates that the related entities are the most closely related to each other among all currently living entities, in terms of evolutionary or genealogical proximity.
- 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc2445f388190af643878145f8249 |
completed | March 7, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_69abbdbb9e4c819085fc588626ec7c09 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.