Triple
T11637228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Douglas |
E276556
|
entity |
| Predicate | genreOfEvent |
P7504
|
FINISHED |
| Object | politically motivated execution |
—
|
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: politically motivated execution | Statement: [David Douglas, genreOfEvent, politically motivated execution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfEvent Context triple: [David Douglas, genreOfEvent, politically motivated execution]
-
A.
typeOfEvent
chosen
Indicates that one entity is classified as a specific kind or category of event.
-
B.
genreOfAppearance
Indicates the genre or type of creative work in which an entity appears.
-
C.
entertainmentType
Indicates the kind or category of entertainment associated with an entity or event.
-
D.
genreOfCollection
Indicates that a specified genre categorizes or characterizes a particular collection.
-
E.
genreWithin
Indicates that one genre is a subgenre or more specific category contained within another, broader genre.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25d80208190b33e95db2e7cc276 |
completed | April 10, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.