Triple
T8198233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R-y-a-n |
E191489
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Ryann |
E191487
|
NE 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: Ryann | Statement: [R-y-a-n, hasSpellingVariant, Ryann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryann Context triple: [R-y-a-n, hasSpellingVariant, Ryann]
-
A.
Ryann
chosen
Ryann is a given name, typically used as a modern variant of the name Ryan.
-
B.
Skylar
Skylar is a compassionate and intelligent Harvard student who becomes Will Hunting’s love interest in the film "Good Will Hunting."
-
C.
Riley
Riley is a historic British automobile marque best known for its sporting and luxury cars produced during the early to mid-20th century.
-
D.
Riley
Riley is a surname most famously associated with Pat Riley, the legendary NBA coach and executive.
-
E.
Riley
Riley is the given name of Riley B. King, better known as the legendary blues musician B.B. King.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccedbc9840819089255e93d8119350 |
completed | April 1, 2026, 10:04 a.m. |
Created at: March 30, 2026, 5:42 p.m.