Triple
T22409939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicole Prescovia Elikolani Valiente |
E553969
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Buttons |
—
|
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: Buttons | Statement: [Nicole Prescovia Elikolani Valiente, notableWork, Buttons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buttons Context triple: [Nicole Prescovia Elikolani Valiente, notableWork, Buttons]
-
A.
Buttons
chosen
"Buttons" is a notable creative work by Sean Garrett, recognized as a key contribution to his career.
-
B.
Buttons
Buttons is a loyal and overprotective dog character from the animated series "Animaniacs," often seen frantically safeguarding a young girl named Mindy from danger.
-
C.
Button
Button is a common English surname borne by various real and fictional individuals, including the character Benjamin Button.
-
D.
Button, Button
"Button, Button" is a suspenseful short story by Richard Matheson that explores moral dilemmas and the consequences of greed through a mysterious offer involving a deadly button.
-
E.
MatButton
MatButton is the Angular Material component that provides a styled, accessible button implementation consistent with the Material Design specification.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158bb9ef88190a773d82ac9ed7a55 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.