Triple
T38589814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broodlord Lashlayer |
E932426
|
entity |
| Predicate | threatMechanic |
P191237
|
FINISHED |
| Object | Knock Away reduces tank threat |
—
|
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: Knock Away reduces tank threat | Statement: [Broodlord Lashlayer, threatMechanic, Knock Away reduces tank threat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threatMechanic Context triple: [Broodlord Lashlayer, threatMechanic, Knock Away reduces tank threat]
-
A.
threatType
Indicates the specific category or nature of a threat that one entity poses or represents in relation to another.
-
B.
threat
Indicates a relationship where one entity expresses or poses potential harm, danger, or negative consequences toward another entity.
-
C.
threatCategory
Indicates the classification of a threat according to its type, severity, or nature within a defined risk or security framework.
-
D.
threatTypeDeterrence
Indicates a relationship where a threat is characterized specifically as serving a deterrent function, aimed at discouraging or preventing certain actions or behaviors.
-
E.
threatInStory
Indicates that one entity poses or represents a danger, menace, or harmful intent toward another entity within the context of a narrative or story.
- F. None of above. chosen
Provenance (4 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcdaa2bfc08190beccabb0f1782d0d |
completed | May 7, 2026, 6:32 p.m. |
Created at: May 3, 2026, 4:32 p.m.