Triple
T5019175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Hopper |
E112806
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object | Demogorgon |
E112809
|
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: Demogorgon | Statement: [Jim Hopper, enemyOf, Demogorgon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Demogorgon Context triple: [Jim Hopper, enemyOf, Demogorgon]
-
A.
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.
-
B.
Dagon
Dagon is an ancient Semitic deity, often associated with grain, fertility, and sometimes the sea, worshipped across regions including Phoenicia and Mesopotamia.
-
C.
Cthulhu
Cthulhu is a colossal, tentacled cosmic entity from H. P. Lovecraft’s mythos, symbolizing incomprehensible horror and the insignificance of humanity in the universe.
-
D.
Schmendiman
Schmendiman is a comically overconfident, dim-witted inventor in Steve Martin’s play "Picasso at the Lapin Agile," representing misguided modern ambition.
-
E.
Tacoronte
Tacoronte is a municipality on the island of Tenerife in Spain’s Canary Islands, known for its wine production and coastal landscapes.
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7342c62881909acb35849da8761c |
completed | March 20, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c5e06fc8190bdd875c04cefd789 |
completed | March 21, 2026, 1:25 p.m. |
Created at: March 20, 2026, 1:35 p.m.