Triple
T5029472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mind Flayer |
E113259
|
entity |
| Predicate | controls |
P760
|
FINISHED |
| Object | Demodogs |
E486711
|
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: Demodogs | Statement: [Mind Flayer, controls, Demodogs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Demodogs Context triple: [Mind Flayer, controls, 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.
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.
-
C.
Wildmutt
Wildmutt is a feral, dog-like alien from the Ben 10 franchise known for his powerful physical abilities and heightened senses despite being blind.
-
D.
Bumpy Dog
Bumpy Dog is a loyal, excitable toy dog character from Enid Blyton’s Noddy stories, known for accompanying Noddy on his adventures in Toyland.
-
E.
Mad Dogs
Mad Dogs is a British dark comedy-drama television series about a group of middle-aged friends whose holiday in Spain spirals into crime and chaos.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd739099a0819099c6201d4e1c5ee2 |
completed | March 20, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea477efec8190a84a0186f5517a43 |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:36 p.m.