Triple
T30674954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark Reign |
E780884
|
entity |
| Predicate | mainVillainGroup |
P50207
|
FINISHED |
| Object | The Cabal |
—
|
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: The Cabal | Statement: [Dark Reign, mainVillainGroup, The Cabal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainVillainGroup Context triple: [Dark Reign, mainVillainGroup, The Cabal]
-
A.
villainOrganization
chosen
Indicates that an entity is an organization characterized as antagonistic, criminal, or evil within a given context or narrative.
-
B.
hasAntagonistGroup
Indicates that an entity is opposed or challenged by a specific group acting as its antagonist.
-
C.
criminalOrganization
Indicates that the subject is an organized group engaged in ongoing illegal activities, often with structured hierarchy and coordination.
-
D.
primaryAntagonistType
Indicates the role or category of the main opposing force or adversary that serves as the central source of conflict.
-
E.
hasVillain
Indicates that one entity is the villain or primary antagonist associated with another entity.
- 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_69f224a7fc208190a07d6d3879b31640 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68b17a7608190a6568c48d8128dfe |
completed | May 2, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:32 p.m.