Triple
T21726581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shatov |
E536289
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Demons |
—
|
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: Demons | Statement: [Shatov, appearsIn, Demons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Demons Context triple: [Shatov, appearsIn, Demons]
-
A.
Demons
The Demons are the nickname of the Melbourne Football Club, one of the oldest and most storied teams in Australian rules football.
-
B.
Demons
"Demons" is a track by British electronic musician Fatboy Slim, featured on his 2000 album "Halfway Between the Gutter and the Stars."
-
C.
Demons
"Demons" is a popular, introspective pop-rock song by Imagine Dragons that explores inner struggles and personal darkness.
-
D.
Demons
chosen
Demons is a British supernatural drama television series featuring Holliday Grainger in a prominent role.
-
E.
Demons
Demons is a 1985 Italian horror film directed by Lamberto Bava and produced by Dario Argento, known for its gory special effects and meta-cinematic story about moviegoers trapped in a theater overrun by demonic forces.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd973ac648190bb09e20ac1be2d9b |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:48 p.m.