Triple
T26170668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berserker Throne |
E654391
|
entity |
| Predicate | narrativeUniverseFeature |
P11913
|
FINISHED |
| Object | ancient autonomous war machines |
—
|
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: ancient autonomous war machines | Statement: [Berserker Throne, narrativeUniverseFeature, ancient autonomous war machines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeUniverseFeature Context triple: [Berserker Throne, narrativeUniverseFeature, ancient autonomous war machines]
-
A.
hasNarrativeUniverse
Indicates that one entity exists within, or is part of the fictional world or narrative setting defined by another entity.
-
B.
fictionalUniverse
Indicates that two entities exist within, or are associated with, the same fictional universe or narrative setting.
-
C.
narrativeCharacteristic
Indicates that one entity serves as a descriptive or defining narrative feature or quality of another entity.
-
D.
narrativeFeature
chosen
Indicates that one element functions as a narrative-related characteristic, device, or structural component of another.
-
E.
narrativeFrameWork
Indicates a relationship where one element provides the structural or conceptual framework within which another element’s narrative is organized, interpreted, or presented.
- 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_69ee5b44391c81908bdbd8813ba9aa99 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 26, 2026, 8:35 p.m.