Triple
T21592524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leviathan |
E532814
|
entity |
| Predicate | pairedWith |
P3159
|
FINISHED |
| Object | Behemoth |
—
|
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: Behemoth | Statement: [Leviathan, pairedWith, Behemoth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Behemoth Context triple: [Leviathan, pairedWith, Behemoth]
-
A.
Behemoth
Behemoth is a towering steel hypercoaster at Canada's Wonderland known for its massive drops, high speeds, and airtime-filled layout.
-
B.
Behemoth
chosen
Behemoth is a large, demonic, talking black cat and one of Woland’s mischievous companions in Mikhail Bulgakov’s novel "The Master and Margarita."
-
C.
Behemoth
Behemoth is a colossal, mammoth-like Titan from the Godzilla–Kong MonsterVerse known for its towering size, tusks, and tree-trunk-like forelimbs.
-
D.
Behemoth
Behemoth is a hard science fiction novel by Peter Watts, known for its bleak, biologically grounded depiction of posthuman evolution and deep-space horror.
-
E.
The Beast
"The Beast" is the famed 1959 Gibson Les Paul Standard guitar closely associated with British rock guitarist Bernie Marsden and known for its powerful tone and role in classic Whitesnake recordings.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefadeb56c8190bce79efadf3c644d |
completed | April 27, 2026, 5:57 a.m. |
Created at: April 16, 2026, 6:32 p.m.