Triple
T20413161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On Her Majesty's Secret Service |
E500639
|
entity |
| Predicate | villainScheme |
P108466
|
FINISHED |
| Object | biological warfare plot involving allergies |
—
|
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: biological warfare plot involving allergies | Statement: [On Her Majesty's Secret Service, villainScheme, biological warfare plot involving allergies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: villainScheme Context triple: [On Her Majesty's Secret Service, villainScheme, biological warfare plot involving allergies]
-
A.
focusesOnVillain
Indicates that the primary attention, narrative emphasis, or activity is directed toward a villain as the central subject.
-
B.
missionOfAntagonist
chosen
Indicates the primary goal, plan, or objective that the antagonist is actively pursuing.
-
C.
methodOfMurderScheme
Indicates the specific method or scheme by which a murder is carried out in a given situation or plan.
-
D.
hasVillain
Indicates that one entity is the villain or primary antagonist associated with another entity.
-
E.
villainOrganization
Indicates that an entity is an organization characterized as antagonistic, criminal, or evil within a given context or narrative.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a417f208190be9bc11650ee0a87 |
completed | April 20, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:30 a.m.