Triple
T33121548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The End (Lost) |
E847613
|
entity |
| Predicate | nielsenRating18_49 |
P29414
|
FINISHED |
| Object | 7.3 rating |
—
|
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: 7.3 rating | Statement: [The End (Lost), nielsenRating18_49, 7.3 rating]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nielsenRating18_49 Context triple: [The End (Lost), nielsenRating18_49, 7.3 rating]
-
A.
USNielsenRating
chosen
Indicates the television audience rating assigned to a program in the United States according to the Nielsen measurement system.
-
B.
televisionRating
Indicates the content rating or audience suitability classification assigned to a television program.
-
C.
televisionRatingUS
Indicates the official content rating assigned to a television program under the United States TV rating system.
-
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.
televisionRatingCategory
Indicates the content rating classification assigned to a television program based on its suitability for different audiences.
- 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_69f349588f088190b7c9588860f72033 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d71a52288190bfdbb5c1913a7787 |
completed | May 3, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69f6d27224708190b31a541cebe0ff77 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:27 a.m.