Triple
T22003737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Party |
E543397
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Demogorgon |
—
|
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: Demogorgon | Statement: [The Party, enemy, Demogorgon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Demogorgon Context triple: [The Party, enemy, Demogorgon]
-
A.
Demogorgon
Demogorgon is a mysterious, allegorical deity in Percy Bysshe Shelley’s drama "Prometheus Unbound," often interpreted as a symbol of hidden, transformative power that overturns tyranny.
-
B.
Demogorgon
chosen
Demogorgon is a terrifying predatory monster from the Upside Down in the TV series "Stranger Things," known for its humanoid body and flower-like, tooth-filled head.
-
C.
Cacodemon
Cacodemon is a floating, one-eyed demonic monster from the Doom series, known for its large gaping mouth and ranged energy attacks.
-
D.
Hastur
Hastur is a mysterious and often malevolent Great Old One in the Cthulhu Mythos, associated with madness, forbidden knowledge, and the eerie city of Carcosa.
-
E.
Démon
Démon is a looping steel roller coaster located at La Ronde amusement park in Montreal, Quebec, known for its inversions and intense ride experience.
- 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.