Triple
T19344682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Nash |
E483843
|
entity |
| Predicate | single |
P3283
|
FINISHED |
| Object | Foundations |
—
|
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: Foundations | Statement: [Kate Nash, single, Foundations]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foundations Context triple: [Kate Nash, single, Foundations]
-
A.
Foundations
chosen
"Foundations" is a 2007 indie pop song by British singer-songwriter Kate Nash that became her breakthrough hit and one of her best-known tracks.
-
B.
The Broad Foundations
The Broad Foundations is a philanthropic organization established by billionaire entrepreneur and philanthropist Eli Broad to support initiatives in education, science, and the arts.
-
C.
Foundation
Foundation is a core Objective-C and Swift framework in Apple’s development ecosystem that provides essential data types, collections, and utilities for building macOS and iOS applications.
-
D.
Foundation
Foundation is a landmark science fiction novel by Isaac Asimov that launched his influential series about the rise and fall of a galactic empire and the science of psychohistory.
-
E.
Foundation
"Foundation" is a song by the American hip hop duo M.O.P., known for its aggressive delivery and gritty, hardcore rap style.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e618598dc08190a723398dd6fe551d |
completed | April 20, 2026, 12:13 p.m. |
Created at: April 10, 2026, 1:34 p.m.