Triple
T8416673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Minutes Hate |
E198744
|
entity |
| Predicate | implementsMedia |
P82068
|
FINISHED |
| Object | film |
—
|
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: film | Statement: [Two Minutes Hate, implementsMedia, film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: implementsMedia Context triple: [Two Minutes Hate, implementsMedia, film]
-
A.
mediaDependentInterface
Indicates that one interface or interaction is contingent on, or varies according to, the characteristics or type of the media involved.
-
B.
hasCommonMedia
Indicates that two entities share at least one media item (such as an image, video, or audio file) in common.
-
C.
hasMediaEvent
Indicates that an entity is associated with, or participates in, a specific media-related event (such as a broadcast, publication, or coverage instance).
-
D.
hasMediaHub
Indicates that one entity possesses, contains, or is associated with a central platform or facility for managing, distributing, or accessing media content.
-
E.
supportsMediaManagement
Indicates that one entity provides functionality or assistance for organizing, handling, or controlling media content for another entity.
- F. None of above. chosen
Provenance (4 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb84c5121081908efa3eca25406d3a |
completed | March 31, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69cb70d70ea081909c3dc1bd2ec14f85 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb77690720819099de1e22b84a9563 |
completed | March 31, 2026, 7:27 a.m. |
Created at: March 30, 2026, 6:06 p.m.