Triple
T22003740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Party |
E543397
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Demodogs |
—
|
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: Demodogs | Statement: [The Party, enemy, Demodogs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Demodogs Context triple: [The Party, enemy, Demodogs]
-
A.
Demodogs
chosen
Demodogs are vicious, dog-like juvenile forms of the Demogorgon from the series "Stranger Things," known for hunting in packs and terrorizing the town of Hawkins.
-
B.
Strange Dogs
Strange Dogs is a science fiction novella set in James S. A. Corey’s Expanse universe, following a young girl who befriends mysterious alien creatures on a distant colony world.
-
C.
Doggies
Doggies is a popular nickname for the Canterbury-Bankstown Bulldogs, a professional rugby league club based in Sydney, Australia.
-
D.
Black Dogs
"Black Dogs" is a 1992 novel by Ian McEwan that explores the aftermath of World War II and the clash between rationalism and spiritual belief through the story of a troubled marriage.
-
E.
Monster Mutt
Monster Mutt is a popular dog-themed monster truck known for its floppy ears, wagging tail, and appearances in Monster Jam competitions.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276cab5c8190ac1236fde7e0394a |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:20 p.m.