Triple
T32986640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hustler Casino |
E843964
|
entity |
| Predicate | brandCreator |
P177605
|
FINISHED |
| Object | Larry Flynt |
—
|
NE NERFINISHED |
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: Larry Flynt | Statement: [Hustler Casino, brandCreator, Larry Flynt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandCreator Context triple: [Hustler Casino, brandCreator, Larry Flynt]
-
A.
brand
Indicates that one entity is the commercial brand or label under which another entity (such as a product, service, or organization) is marketed or identified.
-
B.
franchiseCharacterCreator
Indicates that an entity is the creator or originator of a character that belongs to a particular franchise.
-
C.
brandingCategory
Indicates the classification of an entity into a specific branding-related category or type.
-
D.
inspiredBrandingOf
Indicates that one entity’s branding, such as its visual identity or messaging, was creatively influenced or motivated by another entity.
-
E.
brandingAuthority
Indicates that one entity has the recognized power or right to define, control, or approve the branding (name, logo, identity, or brand usage) of another entity or product.
- 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_69f3494c6f9c8190a255409fce8b1d3b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:22 a.m.