Triple
T14534240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBC Thursday night lineup |
E340994
|
entity |
| Predicate | viewershipImpact |
P114812
|
FINISHED |
| Object | dominated Thursday night ratings for many years |
—
|
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: dominated Thursday night ratings for many years | Statement: [NBC Thursday night lineup, viewershipImpact, dominated Thursday night ratings for many years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewershipImpact Context triple: [NBC Thursday night lineup, viewershipImpact, dominated Thursday night ratings for many years]
-
A.
viewershipNote
Indicates a note or annotation providing additional information or context about the viewership of something.
-
B.
effectOnViewers
Indicates the impact or influence that something has on those who observe or experience it.
-
C.
USViewers
Indicates the number or set of viewers located in the United States who watched or were exposed to a particular piece of content or event.
-
D.
mediaSignal
Indicates that one entity serves as a medium or channel through which a signal, message, or information is transmitted from a source to a receiver.
-
E.
eventInfluencedBy
Indicates that an event occurs or unfolds in a way that is causally or significantly affected by another entity, factor, or prior event.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea053f9bc8190901b9d321811d881 |
completed | April 14, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c546c7081909e27d504ec360c5c |
completed | April 14, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69de610330a48190b558235a14c0dc9f |
completed | April 14, 2026, 3:45 p.m. |
Created at: April 10, 2026, 1:22 a.m.