Triple
T2720324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Film Company |
E60065
|
entity |
| Predicate | impactOnExhibitors |
P41848
|
FINISHED |
| Object | restricted access to non-licensed films |
—
|
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: restricted access to non-licensed films | Statement: [General Film Company, impactOnExhibitors, restricted access to non-licensed films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnExhibitors Context triple: [General Film Company, impactOnExhibitors, restricted access to non-licensed films]
-
A.
hasExhibitors
Indicates that an entity includes, hosts, or is associated with one or more exhibitors.
-
B.
numberOfExhibits
Indicates the total count of exhibits associated with a given entity or context.
-
C.
usedByExhibitorType
Indicates that something is utilized or applied by a specific type or category of exhibitor.
-
D.
exhibition
Indicates that an entity is organizing, hosting, or serving as a public display or presentation of another entity (such as artworks, objects, or information).
-
E.
exhibitedWith
Indicates that two or more entities were presented or displayed together as part of the same exhibition or show.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdab06d388190acf690787fe58ab5 |
completed | March 7, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69abd8240920819087a812d816a55edb |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd949c120819099a9d56eb71a0339 |
completed | March 7, 2026, 7:52 a.m. |
Created at: March 6, 2026, 9:55 p.m.