Triple
T16839558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Original Playboy Mansion (Chicago) |
E409370
|
entity |
| Predicate | mediaTypeAssociation |
P125057
|
FINISHED |
| Object | adult entertainment industry |
—
|
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: adult entertainment industry | Statement: [Original Playboy Mansion (Chicago), mediaTypeAssociation, adult entertainment industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaTypeAssociation Context triple: [Original Playboy Mansion (Chicago), mediaTypeAssociation, adult entertainment industry]
-
A.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
B.
mediaTypeAvailable
Indicates that a particular type or format of media is available for use, access, or distribution in the given context.
-
C.
mediaTypeManaged
Indicates that one entity is responsible for controlling, organizing, or overseeing the specified media type associated with another entity.
-
D.
ownedMediaType
Indicates the type or category of media content that is owned in the context of the ownership relationship.
-
E.
mediaTypeExample
Indicates that something serves as an example or illustrative instance of a particular media type.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b34f902c8190a334ba7caa04ce7e |
completed | April 18, 2026, 4:37 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e34fb7c8c8819086975b7955b7d8ef |
completed | April 18, 2026, 9:32 a.m. |
Created at: April 10, 2026, 5:23 a.m.