Triple
T21093009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brand Nubian |
E519681
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Foundation |
—
|
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: Foundation | Statement: [Brand Nubian, notableWork, Foundation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foundation Context triple: [Brand Nubian, notableWork, Foundation]
-
A.
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.
-
B.
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.
-
C.
Foundation
chosen
"Foundation" is a song by the American hip hop duo M.O.P., known for its aggressive delivery and gritty, hardcore rap style.
-
D.
Foundation
Foundation is a powerful, secretive organization in Isaac Asimov’s science fiction universe that works to preserve and guide human civilization’s future.
-
E.
Foundations
"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.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e70950a31c8190bde2d7b414c362c7 |
completed | April 21, 2026, 5:21 a.m. |
Created at: April 16, 2026, 2:51 p.m.