Triple
T8316294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cthulhu |
E194713
|
entity |
| Predicate | residesIn |
P75
|
FINISHED |
| Object | R'lyeh |
E725606
|
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: R'lyeh | Statement: [Cthulhu, residesIn, R'lyeh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R'lyeh Context triple: [Cthulhu, residesIn, R'lyeh]
-
A.
R'lyeh
chosen
R'lyeh is the sunken, cyclopean city in H. P. Lovecraft’s Cthulhu Mythos where the Great Old One Cthulhu lies dreaming beneath the Pacific Ocean.
-
B.
Innsmouth
Innsmouth is a fictional, decaying New England seaport town in H. P. Lovecraft’s horror fiction, notorious for its sinister cults and inhuman inhabitants.
-
C.
Arkham
Arkham is a fictional, gloomy New England city created by H. P. Lovecraft, often associated with occult happenings and the infamous Miskatonic University in the Cthulhu Mythos.
-
D.
Dunwich
Dunwich is a small coastal village in Suffolk, England, historically significant as a once-thriving medieval port largely lost to the sea through coastal erosion.
-
E.
Dunwich
Dunwich is a fictional, decaying rural village in H. P. Lovecraft’s Cthulhu Mythos, best known as the eerie setting of the story “The Dunwich Horror.”
- 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f557a7881908adcf353f7297848 |
completed | March 31, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde77d43cc8190ad18e932d9230e5c |
completed | April 2, 2026, 3:50 a.m. |
Created at: March 30, 2026, 5:55 p.m.