Triple
T824333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trump Productions |
E17819
|
entity |
| Predicate | hasProductionType |
P2475
|
FINISHED |
| Object | unscripted television |
—
|
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: unscripted television | Statement: [Trump Productions, hasProductionType, unscripted television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProductionType Context triple: [Trump Productions, hasProductionType, unscripted television]
-
A.
typicalProductionType
chosen
Indicates the usual or characteristic type of production activity associated with an entity.
-
B.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
C.
hasMaterialType
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
D.
hasProjectType
Indicates that an entity is associated with, or classified under, a specific type or category of project.
-
E.
hasAssemblyLineFor
Indicates that one entity operates or contains an assembly line specifically used to produce, process, or assemble another entity.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ab7d3984819089aefbf12d3b3c2c |
completed | March 1, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69a4aa781e1081909df006f730296c53 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.