Triple
T22391392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Remission |
E553519
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Leviathan |
—
|
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: Leviathan | Statement: [Remission, followedBy, Leviathan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leviathan Context triple: [Remission, followedBy, Leviathan]
-
A.
Leviathan
Leviathan is a towering steel giga coaster at Canada's Wonderland renowned for its extreme height, speed, and steep first drop.
-
B.
Leviathan
Leviathan is a clandestine, global criminal and terrorist organization in DC Comics, often depicted as a major adversary of Batman and other heroes.
-
C.
Leviathan
"Leviathan" is a 1992 novel by Paul Auster that blends mystery, political intrigue, and metafiction as it follows a writer investigating the life and radicalization of a deceased friend.
-
D.
Leviathan
"Leviathan" is a 2014 Russian drama film by Andrey Zvyagintsev that critiques corruption and power in contemporary Russia through the tragic story of a man fighting to save his home.
-
E.
Leviathan
chosen
Leviathan is a story-focused downloadable content expansion for Mass Effect 3 that explores the origins of the Reapers through a mystery-driven investigation.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585b56208190b53b90a81a807a9d |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.