Triple
T4881595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Moneypenny |
E109338
|
entity |
| Predicate | typicalSceneLocation |
P20834
|
FINISHED |
| Object | M’s outer office |
—
|
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: M’s outer office | Statement: [Miss Moneypenny, typicalSceneLocation, M’s outer office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSceneLocation Context triple: [Miss Moneypenny, typicalSceneLocation, M’s outer office]
-
A.
typicalGameLocation
Indicates the usual or characteristic place where a game is played or takes place.
-
B.
placeOfSetting
chosen
Indicates the location or environment where an event, scene, or situation takes place.
-
C.
typicalUseLocation
Indicates the usual or most common location where an entity is used or operates.
-
D.
cityScene
Indicates a scene or setting that takes place within an urban or city environment.
-
E.
gatheringPlace
Indicates a location where entities come together or assemble, typically for a shared activity, purpose, or event.
- 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_69bd440e9d64819083e82cf33b4d9570 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6dde6fcc8190a5aa7587f85632bd |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2be5e881909f6ec9c3bcde49f3 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:27 p.m.