Triple
T9561468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khwarezmian |
E230683
|
entity |
| Predicate | writingInfluence |
P5204
|
FINISHED |
| Object | Aramaic |
—
|
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: Aramaic | Statement: [Khwarezmian, writingInfluence, Aramaic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writingInfluence Context triple: [Khwarezmian, writingInfluence, Aramaic]
-
A.
literaryInfluence
Indicates that one entity has had a significant impact on the style, themes, or development of another entity’s literary work.
-
B.
impactOnAuthor
Indicates that one entity has an effect, influence, or consequence on the author.
-
C.
hasHistoricalWritingInfluenceFrom
chosen
Indicates that one entity’s historical writing style, content, or traditions are influenced by those of another entity.
-
D.
wereInfluencedBy
Indicates that one entity’s ideas, actions, or characteristics were shaped or affected by another entity.
-
E.
inspiredAuthor
Indicates that one entity served as a source of creative or intellectual inspiration for an author entity.
- 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd994d31e08190b139f5ad10d8ea31 |
completed | April 1, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69ccd594d0ac8190a81bc11a3a538167 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:03 p.m.