Triple
T21569713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nadja |
E532252
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Nadja |
—
|
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: Nadja | Statement: [Nadja, title, Nadja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nadja Context triple: [Nadja, title, Nadja]
-
A.
Nadja
chosen
Nadja is a seminal surrealist novel by André Breton that blends autobiography, fiction, and dreamlike encounters to explore madness, love, and the nature of reality.
-
B.
Nadja
Nadja is a Canadian drone/doom metal duo known for their dense, atmospheric soundscapes that blend heavy guitar distortion with ambient and shoegaze influences.
-
C.
Annabella
Annabella was a French film actress of the 1930s and 1940s, known for her work in both European and Hollywood cinema.
-
D.
Aimée Thanatogenos
Aimée Thanatogenos is a naive and idealistic young cosmetician at a Los Angeles funeral home in Evelyn Waugh’s satirical novel "The Loved One."
-
E.
Joanna Dark
Joanna Dark is a highly skilled secret agent and the protagonist of the sci-fi stealth shooter video game franchise Perfect Dark.
- 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9cb9718819094fc95b25df68bd1 |
completed | April 27, 2026, 4:44 a.m. |
Created at: April 16, 2026, 6:30 p.m.