Triple
T24488411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Lyman |
E617576
|
entity |
| Predicate | onScreenPresence |
P130418
|
FINISHED |
| Object | primarily off-screen, referenced in dialogue |
—
|
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: primarily off-screen, referenced in dialogue | Statement: [Mrs. Lyman, onScreenPresence, primarily off-screen, referenced in dialogue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onScreenPresence Context triple: [Mrs. Lyman, onScreenPresence, primarily off-screen, referenced in dialogue]
-
A.
onScreenStatus
chosen
Indicates that an entity’s current presence or visibility state is being specified relative to a screen or display.
-
B.
onScreenDynamicWith
Indicates that two entities are simultaneously visible and interacting or changing together within the same on-screen context.
-
C.
onlinePresence
Indicates that an entity maintains a presence or representation on the internet, such as through websites, profiles, or digital platforms.
-
D.
hasOnScreenDynamic
Indicates that one entity displays or presents another entity as a changing or interactive element on a screen.
-
E.
scenePresence
Indicates that an entity is present or appears within a particular scene or context.
- 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:22 a.m.