Triple
T38645520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanctum of the Mad |
E938703
|
entity |
| Predicate | hasPrimaryRace |
P86582
|
FINISHED |
| Object | venthyr |
—
|
LITERAL 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: venthyr | Statement: [Sanctum of the Mad, hasPrimaryRace, venthyr]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryRace Context triple: [Sanctum of the Mad, hasPrimaryRace, venthyr]
-
A.
previousPrimaryRace
Indicates that one race event is the immediately preceding primary race relative to another race in a sequence or schedule.
-
B.
primaryRace
chosen
Indicates the main racial or ethnic category with which an entity is primarily identified or classified.
-
C.
hasMajorRace
Indicates that an entity participates in or is associated with a primary or most significant race or racing event.
-
D.
hasRace
Indicates that an entity possesses or is characterized by a particular race or racial classification.
-
E.
hasAssociatedRace
Indicates that an entity is linked to or characterized by a particular race or racial classification.
- F. None of above.
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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.