Triple
T8416640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newspeak |
E198743
|
entity |
| Predicate | exampleWord |
P82067
|
FINISHED |
| Object | Miniluv |
E733040
|
NE FINISHED |
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: Miniluv | Statement: [Newspeak, exampleWord, Miniluv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miniluv Context triple: [Newspeak, exampleWord, Miniluv]
-
A.
Miniluv
chosen
Miniluv is the brutal secret police and torture-enforcing security agency in George Orwell’s dystopian novel "Nineteen Eighty-Four."
-
B.
Every Little Word
"Every Little Word" is a song by British singer-songwriter Uzoechi Emenike, better known as MNEK, showcasing his blend of pop and R&B production and vocal style.
-
C.
Lyttle
Lyttle is a surname that functions as a spelling variant of the more common name Little.
-
D.
Miniplenty
Miniplenty is the fictional government ministry in George Orwell’s "Nineteen Eighty-Four" responsible for managing the economy and rationing, often through propaganda and manipulation of statistics.
-
E.
Little D
Little D is a colloquial nickname for the city of Denton, Texas, often used in contrast to nearby Dallas, known as "Big D."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd122af6481908fbe53fe30bdd135 |
completed | March 31, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d469a148190a6f018f758cba5eb |
completed | April 2, 2026, 7:39 a.m. |
Created at: March 30, 2026, 6:06 p.m.