Triple
T2433152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dishonored franchise |
E52892
|
entity |
| Predicate | settingStyle |
P25796
|
FINISHED |
| Object | industrial fantasy |
—
|
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: industrial fantasy | Statement: [Dishonored franchise, settingStyle, industrial fantasy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingStyle Context triple: [Dishonored franchise, settingStyle, industrial fantasy]
-
A.
editingStyle
Indicates the characteristic manner or approach used when revising, arranging, or refining content.
-
B.
stylingEnables
Indicates that one entity provides or activates styling capabilities or visual formatting for another entity.
-
C.
stylingFeature
Indicates a visual or design-related characteristic applied to an entity, such as formatting, layout, or aesthetic treatment.
-
D.
structuralStyle
Indicates the architectural or design style that characterizes the structure or form of an entity.
-
E.
featuresStyle
chosen
Indicates that one entity exhibits, incorporates, or is characterized by a particular style 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcc74a5108190a3a9631b0cc1a127 |
completed | March 7, 2026, 6:57 a.m. |
| PD | Predicate disambiguation | batch_69abc5aa1b60819081b87f7985c6cff3 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 6, 2026, 9:43 p.m.