Triple
T16966830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playboy Clubs |
E411560
|
entity |
| Predicate | membershipSystem |
P24844
|
FINISHED |
| Object | keyholder membership |
—
|
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: keyholder membership | Statement: [Playboy Clubs, membershipSystem, keyholder membership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: membershipSystem Context triple: [Playboy Clubs, membershipSystem, keyholder membership]
-
A.
membershipArea
Indicates the geographic or organizational area within which a membership is valid or applicable.
-
B.
membershipBased
Indicates that access, participation, or inclusion in something is conditional on holding a membership or belonging to a defined group.
-
C.
membershipStructure
chosen
Indicates the organizational or hierarchical arrangement that defines how members are grouped, related, and governed within a collective or system.
-
D.
membershipField
Indicates that one entity serves as a field or attribute capturing the membership status or association of another entity within a group, organization, or collection.
-
E.
membershipStatus
Indicates the current state or level of an entity’s participation or affiliation within a group, organization, or program.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a548b48190b87468630f3e3209 |
completed | April 18, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69e35d4dff4881909b384e30f2d36bff |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:31 a.m.