Triple
T30771971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viola and Olivia |
E783549
|
entity |
| Predicate | portraysSceneFrom |
P162840
|
FINISHED |
| Object | Twelfth Night, Act I |
—
|
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: Twelfth Night, Act I | Statement: [Viola and Olivia, portraysSceneFrom, Twelfth Night, Act I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysSceneFrom Context triple: [Viola and Olivia, portraysSceneFrom, Twelfth Night, Act I]
-
A.
featuresSceneFrom
Indicates that one entity (such as a work or media item) includes or presents a particular scene taken from another entity.
-
B.
showsScene
chosen
Indicates that one entity (such as a media item or visual representation) depicts or presents a particular scene.
-
C.
partOfScene
Indicates that one entity functions as a component or element within a larger scene or setting involving another entity.
-
D.
performedInScene
Indicates that an action or event took place within a specific scene or setting.
-
E.
scenes
Indicates that one entity is a scene or setting in which the other entity occurs, appears, or is depicted.
- 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_69f224b1519081908b9db003fd2073e0 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
Created at: April 29, 2026, 8:40 p.m.