Triple
T21843241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 67th Academy Awards |
E539305
|
entity |
| Predicate | televisionRatingContext |
P124996
|
FINISHED |
| Object | United States television |
—
|
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: United States television | Statement: [67th Academy Awards, televisionRatingContext, United States television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionRatingContext Context triple: [67th Academy Awards, televisionRatingContext, United States television]
-
A.
televisionRating
Indicates the content rating or audience suitability classification assigned to a television program.
-
B.
televisionRatingUS
chosen
Indicates the official content rating assigned to a television program under the United States TV rating system.
-
C.
ageRatingContext
Indicates the contextual basis or circumstances (such as region, system, or criteria) under which an age rating is assigned or interpreted.
-
D.
TVRating
Indicates the content rating assigned to a television program, reflecting its suitability for specific audiences.
-
E.
televisionExposureLevel
Indicates the degree or amount of exposure an entity has to television content.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7ad76d48190a1905cfdbe866323 |
completed | April 28, 2026, 12:27 p.m. |
| PD | Predicate disambiguation | batch_69e6be8c14748190bdcc44a14d50bea4 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:55 p.m.