Triple
T4262600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Small World Enterprises |
E96136
|
entity |
| Predicate | programTypeProduced |
P2475
|
FINISHED |
| Object | educational television series |
—
|
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: educational television series | Statement: [Small World Enterprises, programTypeProduced, educational television series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programTypeProduced Context triple: [Small World Enterprises, programTypeProduced, educational television series]
-
A.
programType
Indicates the category or kind of program to which an entity belongs or with which it is associated.
-
B.
producedProgram
Indicates that one entity created or produced a specific program (such as a TV show, software, or other structured content).
-
C.
madeProgram
Indicates that one entity created, developed, or authored a program (such as software or a coded application).
-
D.
producedFilmType
Indicates that an entity (such as a person or organization) was responsible for producing a film of a specified type or category.
-
E.
typicalProductionType
chosen
Indicates the usual or characteristic type of production activity associated with an 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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34fc821ec8190a7204aaf89d24a6b |
completed | March 12, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69b347f8dcb08190a725c1f7fb5a7466 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:06 p.m.