Triple
T28209951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ذبیحالله مجاهد |
E711131
|
entity |
| Predicate | نقش رسانهای |
P20270
|
FINISHED |
| Object | پاسخگویی به پرسشهای خبرنگاران درباره سیاستهای طالبان |
—
|
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: پاسخگویی به پرسشهای خبرنگاران درباره سیاستهای طالبان | Statement: [ذبیحالله مجاهد, نقش رسانهای, پاسخگویی به پرسشهای خبرنگاران درباره سیاستهای طالبان]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: نقش رسانهای Context triple: [ذبیحالله مجاهد, نقش رسانهای, پاسخگویی به پرسشهای خبرنگاران درباره سیاستهای طالبان]
-
A.
メディアでの役割
Indicates the role or function an entity has within or as portrayed by a particular medium (such as TV, film, or print).
-
B.
mediaRole
chosen
Indicates the specific function, capacity, or position an entity holds in relation to a media item (such as creator, editor, performer, or distributor).
-
C.
mediaFocus
Indicates that the primary attention, coverage, or emphasis of a media source is directed toward a particular entity or topic.
-
D.
mediaSector
Indicates a relationship where an entity operates in, is associated with, or belongs to the media industry or media-related sector.
-
E.
mediaSubject
Indicates that a piece of media (e.g., an article, video, or broadcast) is about, focuses on, or covers a particular subject or topic.
- 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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f64310b67481908c2de1bc652d4d87 |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 10:38 p.m.