Triple
T34083485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierce Global Media |
E874110
|
entity |
| Predicate | comparedToByViewers |
P192865
|
FINISHED |
| Object | The New York Times |
—
|
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: The New York Times | Statement: [Pierce Global Media, comparedToByViewers, The New York Times]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comparedToByViewers Context triple: [Pierce Global Media, comparedToByViewers, The New York Times]
-
A.
viewershipImpact
Indicates how one entity’s viewership levels influence or change the audience size, engagement, or visibility of another entity.
-
B.
viewershipNote
Indicates a note or annotation providing additional information or context about the viewership of something.
-
C.
estimatedViewers
Indicates the number of viewers expected or predicted to watch a particular event, program, or content.
-
D.
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.
-
E.
viewCount
Indicates the number of times something has been viewed or accessed.
- 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_69f349a61d448190b74642f325d3eb7a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
| PDg | Predicate description generation | batch_69fd2cf29f808190856ab1d43a51d5c7 |
completed | May 8, 2026, 12:23 a.m. |
Created at: May 1, 2026, 1:52 a.m.