Triple
T14810211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banu Tamim |
E348157
|
entity |
| Predicate | modernInfluence |
P115817
|
FINISHED |
| Object | political influence in Gulf monarchies |
—
|
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: political influence in Gulf monarchies | Statement: [Banu Tamim, modernInfluence, political influence in Gulf monarchies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernInfluence Context triple: [Banu Tamim, modernInfluence, political influence in Gulf monarchies]
-
A.
modernRevivalIn
Indicates that something has experienced a renewed or modern resurgence, popularity, or reinterpretation within a specified place, context, or period.
-
B.
formedModern
Indicates that an entity created, established, or organized another entity in the modern era or in its current modern form.
-
C.
modernUse
Indicates how something is currently used or applied in modern times.
-
D.
architecturalInfluence
Indicates that one architectural style, structure, or designer has had a formative impact on the design, style, or features of another.
-
E.
modernExistence
Indicates that an entity exists or is present in the contemporary or current time period.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf35a5e081909321193ef37099d1 |
completed | April 14, 2026, 11:35 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:46 a.m.