Triple
T36036828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EZ Streets |
E1042426
|
entity |
| Predicate | viewershipOutcome |
P93833
|
FINISHED |
| Object | low ratings |
—
|
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: low ratings | Statement: [EZ Streets, viewershipOutcome, low ratings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewershipOutcome Context triple: [EZ Streets, viewershipOutcome, low ratings]
-
A.
viewershipImpact
Indicates how one entity’s viewership levels influence or change the audience size, engagement, or visibility of another entity.
-
B.
viewershipNote
chosen
Indicates a note or annotation providing additional information or context about the viewership of something.
-
C.
viewershipWorld
Indicates the extent or pattern of how an entity is watched or followed by audiences across the world.
-
D.
estimatedViewers
Indicates the number of viewers expected or predicted to watch a particular event, program, or content.
-
E.
viewershipEstimateUnit
Indicates the unit of measurement used to express a viewership estimate (e.g., viewers, households, percentage).
- 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_69f76e2d7e8c8190bac4e90734566799 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.