Triple
T8198171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryann |
E191487
|
entity |
| Predicate | moreCommonlyUsedAs |
P72600
|
FINISHED |
| Object | feminine name |
—
|
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: feminine name | Statement: [Ryann, moreCommonlyUsedAs, feminine name]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moreCommonlyUsedAs Context triple: [Ryann, moreCommonlyUsedAs, feminine name]
-
A.
moreCommonIn
Indicates that something occurs with greater frequency or prevalence in one group, context, or location than in another.
-
B.
moreCommonAs
chosen
Indicates that one thing occurs or is observed more frequently in a specified role, form, or context than in another.
-
C.
oftenUsedAsNameFor
Indicates that something frequently serves as a name or designation for another entity.
-
D.
isFamouslyUsedIn
Indicates that something is widely recognized or well-known for being used in a particular context, work, or situation.
-
E.
commonness
Indicates how frequently or typically something occurs or is found relative to other things.
- 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_69ca82c6e9548190a4c5ca14516e4417 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb5c2341f881908be59c378896e5bc |
completed | March 31, 2026, 5:31 a.m. |
| PD | Predicate disambiguation | batch_69cb36aac86081909b83636e352e0ced |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:42 p.m.