Triple
T17085668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jodie Foster as Madeleine White |
E414589
|
entity |
| Predicate | introducedInSceneType |
P21951
|
FINISHED |
| Object | high-level private meeting |
—
|
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: high-level private meeting | Statement: [Jodie Foster as Madeleine White, introducedInSceneType, high-level private meeting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedInSceneType Context triple: [Jodie Foster as Madeleine White, introducedInSceneType, high-level private meeting]
-
A.
performedInSceneType
chosen
Indicates that an action or event was carried out within a scene of a specified type or category.
-
B.
introducedInSerialType
Indicates that something first appeared or was initially presented within a particular type or category of serial work (such as a TV series, comic series, or other serialized medium).
-
C.
hasInfluenceFromScene
Indicates that something is affected, shaped, or guided by the characteristics or context of a particular scene.
-
D.
introducedInSystem
Indicates that an entity was first added, implemented, or made available within a particular system.
-
E.
introducedInTheme
Indicates that something (such as a concept, character, or element) is first presented or brought into use within a particular theme.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe6d5288190bdaec41c642d52a2 |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d67b14481909fcdbdeaa5c34785 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:35 a.m.