Triple
T37877024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonel Katherine Powell |
E944752
|
entity |
| Predicate | responsibilityInPlot |
P636
|
FINISHED |
| Object | oversees drone warfare operation |
—
|
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: oversees drone warfare operation | Statement: [Colonel Katherine Powell, responsibilityInPlot, oversees drone warfare operation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: responsibilityInPlot Context triple: [Colonel Katherine Powell, responsibilityInPlot, oversees drone warfare operation]
-
A.
guardianInPlot
Indicates that one entity serves as a guardian or protector of another entity within the context of a specific plot or storyline.
-
B.
responsibleFor
chosen
Indicates that one entity has a duty, obligation, or role to manage, oversee, or be accountable for another entity or outcome.
-
C.
politicalRoleInPlot
Indicates that an entity holds a specific political function, position, or influence within the context of a particular plot or storyline.
-
D.
plotInvolvement
Indicates that an entity participates in, contributes to, or is affected by the events or storyline of a narrative work.
-
E.
partOfPlot
Indicates that one event, action, or element is a constituent component within the overall plot of a 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_69f76eef55d481908ca6660b4b532550 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.