Triple
T22970343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taylor |
E571169
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Tayler |
—
|
NE NERFINISHED |
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: Tayler | Statement: [Taylor, hasVariant, Tayler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tayler Context triple: [Taylor, hasVariant, Tayler]
-
A.
Tayler
chosen
Tayler is a surname of English origin borne by various notable individuals, including historical and contemporary figures.
-
B.
Tayler Wiethoff
Tayler Wiethoff is the wife of American actor and voice artist Rob Wiethoff, known for his role as John Marston in the Red Dead Redemption video game series.
-
C.
Taylour
Taylour is a feminine given name most notably borne by American actress and dancer Taylour Paige.
-
D.
Skylar
Skylar is a compassionate and intelligent Harvard student who becomes Will Hunting’s love interest in the film "Good Will Hunting."
-
E.
Skylar
Skylar is a magical flying creature from the animated series "Elena of Avalor," serving as one of Princess Elena’s loyal and adventurous companions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1823272c4819083e4653d231facec |
completed | April 29, 2026, 3:59 a.m. |
Created at: April 17, 2026, 3:48 p.m.