Triple
T35013827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bosmeris |
E1009999
|
entity |
| Predicate | primaryUseInMedia |
P82791
|
FINISHED |
| Object | names and phrases for Bosmer characters |
—
|
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: names and phrases for Bosmer characters | Statement: [Bosmeris, primaryUseInMedia, names and phrases for Bosmer characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryUseInMedia Context triple: [Bosmeris, primaryUseInMedia, names and phrases for Bosmer characters]
-
A.
commonlyUsedInMediaOf
Indicates that something is frequently employed or featured within a particular medium or type of media.
-
B.
usedInMediaAs
chosen
Indicates that something is employed, featured, or referenced within a media work (such as a film, show, game, or publication) in some capacity.
-
C.
primaryUseOf
Indicates that one entity serves as the main or principal function, purpose, or application of another entity.
-
D.
usedInMediaOf
Indicates that something (e.g., a work, element, or content) is employed or appears within a particular media work or production.
-
E.
primaryUseInFeed
Indicates that something is the main or most common way an item is used or presented within a feed.
- 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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:01 p.m.