Triple
T14816568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoe Tapper |
E348332
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Demons |
E779261
|
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: Demons | Statement: [Zoe Tapper, notableWork, Demons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Demons Context triple: [Zoe Tapper, notableWork, Demons]
-
A.
Demons
Demons is a political and psychological novel by Fyodor Dostoevsky that explores radicalism, moral chaos, and the destructive consequences of nihilist ideology in 19th-century Russia.
-
B.
Demons
"Demons" is a drill-rap track by Fivio Foreign that helped establish his presence in the New York drill scene with its dark production and aggressive delivery.
-
C.
Demons
"Demons" is a track by British electronic musician Fatboy Slim, featured on his 2000 album "Halfway Between the Gutter and the Stars."
-
D.
Demons
"Demons" is a popular, introspective pop-rock song by Imagine Dragons that explores inner struggles and personal darkness.
-
E.
Demons
chosen
Demons is a British supernatural drama television series featuring Holliday Grainger in a prominent role.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe2c1ec81908b3dff7a5d0e85d0 |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe3897691c819085ef89480e730723 |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:49 a.m.