Triple
T8502032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Outstanding Variety Sketch Series |
E201239
|
entity |
| Predicate | awardedForBroadcastSeason |
P77636
|
FINISHED |
| Object | preceding television season |
—
|
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: preceding television season | Statement: [Outstanding Variety Sketch Series, awardedForBroadcastSeason, preceding television season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedForBroadcastSeason Context triple: [Outstanding Variety Sketch Series, awardedForBroadcastSeason, preceding television season]
-
A.
awardInSeason
chosen
Indicates that an award was given during a specific season or seasonal period.
-
B.
awardedForBroadcastIn
Indicates that an award was given specifically for the broadcast of something within a particular region, channel, or medium.
-
C.
awardSeason
Indicates the period or context in which awards are given or recognized for achievements, typically within a specific field or industry.
-
D.
emmyAwardYear
Indicates the year in which an entity received or was associated with an Emmy Award.
-
E.
emmyAwardFor
Indicates that an entity has received or is associated with a specific Emmy Award for a particular work or achievement.
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe59ad65c8190a2b8e6d22269853a |
completed | March 31, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69cbd10a4b0881909e254117780dc823 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:14 p.m.