Triple
T19804758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assiah |
E475780
|
entity |
| Predicate | contrastedWith |
P278
|
FINISHED |
| Object | Briah |
—
|
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: Briah | Statement: [Assiah, contrastedWith, Briah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Briah Context triple: [Assiah, contrastedWith, Briah]
-
A.
Beriah
chosen
Beriah is the Kabbalistic world of Creation, one of the four principal spiritual realms in Jewish mysticism.
-
B.
Brinian
Brinian is a small settlement on the island of Rousay in Orkney, Scotland, known for its rural coastal setting and proximity to notable archaeological sites.
-
C.
Teth-Adam
Teth-Adam, better known as Black Adam, is a powerful antihero and occasional villain in DC Comics who wields magical abilities derived from ancient Egyptian gods and often opposes Shazam.
-
D.
Rahki
Rahki is a Grammy-winning American record producer and songwriter best known for his work with Kendrick Lamar and other prominent hip-hop artists.
-
E.
Siaro
Siaro is a location in Sweden known as the place where renowned Swedish tenor Jussi Björling died.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65427546c819082c8eb0d63e3f5fe |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:49 p.m.