Triple
T27739874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Most Shocking |
E701822
|
entity |
| Predicate | laterChannelBrand |
P192555
|
FINISHED |
| Object | truTV original programming |
—
|
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: truTV original programming | Statement: [Most Shocking, laterChannelBrand, truTV original programming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterChannelBrand Context triple: [Most Shocking, laterChannelBrand, truTV original programming]
-
A.
brandChannel
Indicates a relationship where a brand is associated with, represented on, or communicated through a particular channel or medium.
-
B.
laterBrandOf
Indicates that one brand is a subsequent or successor brand to another, coming into use at a later time.
-
C.
laterChannelRegion
Indicates that one channel region occurs or is positioned later in sequence or time relative to another channel region.
-
D.
parentBrand
Indicates that one brand is the overarching or owning brand from which another brand is derived or subordinated.
-
E.
secondaryBrand
Indicates that one brand is a subordinate, supporting, or less prominent brand in relation to a primary brand.
- 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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
| PDg | Predicate description generation | batch_69fd19f6a7888190aa7eee2b87687c53 |
completed | May 7, 2026, 11:02 p.m. |
Created at: April 27, 2026, 4:09 p.m.