Triple
T14276894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Could-Have-Been King and his army of Meanwhiles and Neverweres |
E353938
|
entity |
| Predicate | threatLevelInLore |
P23664
|
FINISHED |
| Object | apocalyptic |
—
|
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: apocalyptic | Statement: [the Could-Have-Been King and his army of Meanwhiles and Neverweres, threatLevelInLore, apocalyptic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threatLevelInLore Context triple: [the Could-Have-Been King and his army of Meanwhiles and Neverweres, threatLevelInLore, apocalyptic]
-
A.
threatLevelDescription
Indicates a textual description that characterizes the severity or nature of a threat level associated with an entity or situation.
-
B.
threatContext
Indicates the situational conditions, factors, or environment in which a threat occurs or is relevant.
-
C.
threatCategory
chosen
Indicates the classification of a threat according to its type, severity, or nature within a defined risk or security framework.
-
D.
threatType
Indicates the specific category or nature of a threat that one entity poses or represents in relation to another.
-
E.
thrillLevel
Indicates the degree of excitement or intensity of exhilaration associated with an experience, action, or situation.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6583f0ec81909ebfc7a2c6351ff8 |
completed | April 14, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69de2a88446481909cd526da97a3b70f |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:10 a.m.