Triple
T5338753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyge |
E123890
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Ty |
E367233
|
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: Ty | Statement: [Tyge, hasShortForm, Ty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ty Context triple: [Tyge, hasShortForm, Ty]
-
A.
Ty
chosen
Ty is the first name of American musician and songwriter Ty Segall, known for his prolific work in garage and psychedelic rock.
-
B.
Tu
The Tu are a Mongolic-speaking ethnic minority in northwestern China, known for their Tibetan Buddhist traditions and distinctive agrarian culture in Qinghai and Gansu provinces.
-
C.
TYS
TYS is the IATA airport code for McGhee Tyson Airport, the primary commercial airport serving Knoxville, Tennessee, and the surrounding region.
-
D.
Ter
The Ter is a river in northeastern Catalonia, Spain, that flows through cities such as Girona before emptying into the Mediterranean Sea.
-
E.
YT
YT is the official Canada Post two-letter postal abbreviation for the Yukon territory in northwestern Canada.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85c8415c819099a0b26e07360f01 |
completed | March 20, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18c54ca4819095ca1d81ee061937 |
completed | March 21, 2026, 10:16 p.m. |
Created at: March 20, 2026, 2 p.m.