Triple
T15199272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hysteria |
E363220
|
entity |
| Predicate | hasScreenRuntimeCategory |
P74363
|
FINISHED |
| Object | feature-length |
—
|
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: feature-length | Statement: [Hysteria, hasScreenRuntimeCategory, feature-length]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScreenRuntimeCategory Context triple: [Hysteria, hasScreenRuntimeCategory, feature-length]
-
A.
hasScreenType
Indicates the specific kind or category of screen associated with or used by an entity.
-
B.
hasScreen
Indicates that an entity is equipped with or includes a screen or display component.
-
C.
hasScreenAppearanceType
Indicates the type or manner in which an entity appears or is presented on a screen.
-
D.
hasRunningTimeCategory
chosen
Indicates that an entity is associated with a specific category based on its running time or duration.
-
E.
hasTopScreenSize
Indicates that an entity (typically a device) possesses a top screen with a specified size or dimension.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b476208190a5119710c518bb1f |
completed | April 15, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69deb97bd8bc8190b2ad4888f97cf963 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:10 a.m.