Triple
T19893469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Elements of User Experience |
E478089
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Jesse James Garrett |
—
|
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: Jesse James Garrett | Statement: [The Elements of User Experience, author, Jesse James Garrett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jesse James Garrett Context triple: [The Elements of User Experience, author, Jesse James Garrett]
-
A.
Jesse James Garrett
chosen
Jesse James Garrett is an American user experience designer and author best known for coining the term AJAX and influencing modern web application design.
-
B.
John Cagan
John Cagan is the namesake of Cagan Stadium, likely a significant benefactor or figure associated with the institution that owns the venue.
-
C.
Mark Nielsen
Mark Nielsen is a film producer best known for his work on Pixar's animated feature "Toy Story 4."
-
D.
Jonathan Schwartz
Jonathan Schwartz is a film producer best known for his work on acclaimed independent movies such as "Like Crazy."
-
E.
Victor Kilian
Victor Kilian was an American character actor known for his prolific work in film and television from the 1920s through the 1970s.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6590f9eb481909104a6a404c5c331 |
completed | April 20, 2026, 4:49 p.m. |
Created at: April 10, 2026, 1:52 p.m.