Triple
T5029445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upside Down |
E113258
|
entity |
| Predicate | originOfThreat |
P23662
|
FINISHED |
| Object | Mind Flayer invasion plans |
—
|
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: Mind Flayer invasion plans | Statement: [Upside Down, originOfThreat, Mind Flayer invasion plans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originOfThreat Context triple: [Upside Down, originOfThreat, Mind Flayer invasion plans]
-
A.
recognizesThreat
Indicates that an entity identifies or acknowledges another entity or situation as a potential danger or source of harm.
-
B.
threatIntelligenceSource
Indicates that one entity serves as the origin or provider of threat intelligence information for another entity.
-
C.
primaryThreat
chosen
Indicates that one entity is the main or most significant source of danger, harm, or risk to another entity.
-
D.
threatType
Indicates the specific category or nature of a threat that one entity poses or represents in relation to another.
-
E.
threatTypeAddressed
Indicates that a given action, measure, or entity is specifically intended to counter or mitigate a particular type of threat.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd739099a0819099c6201d4e1c5ee2 |
completed | March 20, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69bd71509e9c8190a60c1d8d04936a12 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:36 p.m.