Triple
T12913332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lich |
E308913
|
entity |
| Predicate | villainType |
P60013
|
FINISHED |
| Object | undead sorcerer |
—
|
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: undead sorcerer | Statement: [The Lich, villainType, undead sorcerer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: villainType Context triple: [The Lich, villainType, undead sorcerer]
-
A.
primaryAntagonistType
Indicates the role or category of the main opposing force or adversary that serves as the central source of conflict.
-
B.
villainDescription
Indicates that one entity provides a description or characterization of a villainous role or antagonist associated with another entity.
-
C.
hasVillain
Indicates that one entity is the villain or primary antagonist associated with another entity.
-
D.
facesAntagonistType
Indicates that an entity confronts or opposes an antagonist of a specified type.
-
E.
typeOfCharacter
chosen
Indicates that one entity is a specific kind or category of character in relation to 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9719f96248190b746f9d4a468560c |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa9b7708190a9e9fa30f59ff580 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:41 p.m.