Triple
T34562659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Major General Thomas F. Waverly |
E887386
|
entity |
| Predicate | initialSceneContext |
P117103
|
FINISHED |
| Object | European Theater during World War II |
—
|
NE NERFINISHED |
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: European Theater during World War II | Statement: [Major General Thomas F. Waverly, initialSceneContext, European Theater during World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialSceneContext Context triple: [Major General Thomas F. Waverly, initialSceneContext, European Theater during World War II]
-
A.
originatedScene
Indicates that one entity is the original source or starting point scene from which another scene, event, or representation is derived.
-
B.
centralScene
Indicates that one scene functions as the main or focal scene within a larger narrative, sequence, or composition.
-
C.
initialStage
Indicates that one entity represents the first or starting phase in a sequence, process, or development of another entity.
-
D.
firstBroadcastContext
Indicates the context or setting (such as channel, platform, or program) in which something was first broadcast.
-
E.
stageContext
chosen
Indicates the situational or environmental setting in which an event, action, or interaction takes place.
- 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_69f349d0c4d881908dd0950f5eb9ec0a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 1, 2026, 2:02 a.m.