Triple
T13704995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFL on CBS broadcasts |
E328616
|
entity |
| Predicate | includesProgramming |
P10191
|
FINISHED |
| Object | Thursday games (select seasons) |
—
|
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: Thursday games (select seasons) | Statement: [NFL on CBS broadcasts, includesProgramming, Thursday games (select seasons)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesProgramming Context triple: [NFL on CBS broadcasts, includesProgramming, Thursday games (select seasons)]
-
A.
programmingIncludes
chosen
Indicates that one programming-related entity contains, incorporates, or makes use of another as a part, feature, or component.
-
B.
programming
Indicates that an entity writes, develops, or modifies software or code, typically using a programming language to create or control computer programs.
-
C.
primaryProgramming
Indicates that one entity serves as the main or most important programming or coding language, tool, or environment used by another entity.
-
D.
programmingCategory
Indicates that one entity is classified as a programming-related category or type for the other entity.
-
E.
programmingLanguage
Indicates that one entity is a programming language used to create, control, or interact with the other 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad17732c8190bbd0d73107711c99 |
completed | April 13, 2026, 8:45 a.m. |
| PD | Predicate disambiguation | batch_69dbbe92d77c81908e0244cffb7f78c5 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:54 p.m.