Triple
T31709813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lifetime Television for Women |
E809286
|
entity |
| Predicate | hasNotableProgrammingType |
P20471
|
FINISHED |
| Object | Lifetime Original Movie |
—
|
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: Lifetime Original Movie | Statement: [Lifetime Television for Women, hasNotableProgrammingType, Lifetime Original Movie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableProgrammingType Context triple: [Lifetime Television for Women, hasNotableProgrammingType, Lifetime Original Movie]
-
A.
hasProgrammingFrom
Indicates that something derives its programming, configuration, or behavioral instructions from a specified source.
-
B.
hasProgrammingTheme
Indicates that something involves, is centered around, or is characterized by programming-related concepts, activities, or content.
-
C.
hasProgrammingFocus
Indicates that something is centered on, specialized in, or primarily concerned with programming.
-
D.
notableProgramming
Indicates that an entity is notably associated with programming, such as being recognized for significant work, skill, or contributions in the field of programming.
-
E.
notableProgramType
chosen
Indicates that the subject is recognized for or associated with a particular type or category of 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_69f348df4e048190a4a5a9932ada78d6 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a00b8e0a5508190abc5c1e492bed12e |
completed | May 10, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_6a00b8327d048190850af317f60f0f8b |
completed | May 10, 2026, 4:54 p.m. |
Created at: April 30, 2026, 11:15 p.m.