Triple
T12802235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Act of Security |
E306048
|
entity |
| Predicate | threatenedResponse |
P106463
|
FINISHED |
| Object | possibility of a different monarch from that of England |
—
|
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: possibility of a different monarch from that of England | Statement: [Act of Security, threatenedResponse, possibility of a different monarch from that of England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threatenedResponse Context triple: [Act of Security, threatenedResponse, possibility of a different monarch from that of England]
-
A.
threatenedBy
Indicates that one entity poses a danger or potential harm to another entity.
-
B.
isThreatenedCategory
Indicates that an entity belongs to a category facing risk of harm, decline, or extinction.
-
C.
threatStatus
Indicates the level or category of risk or danger posed by one entity to another or to a defined system or environment.
-
D.
threat
Indicates a relationship where one entity expresses or poses potential harm, danger, or negative consequences toward another entity.
-
E.
threatToHumans
Indicates that the subject poses or represents a potential danger, harm, or risk to humans.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e7d3f5c8190bf01bef5d263ca26 |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ed7448190b276e7fab649f7d2 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d88be0481908c311f1e71b61e70 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:30 p.m.