Triple
T27088753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thank God It's Thursday programming block |
E686103
|
entity |
| Predicate | partOfDaypart |
P138971
|
FINISHED |
| Object | primetime |
—
|
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: primetime | Statement: [Thank God It's Thursday programming block, partOfDaypart, primetime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfDaypart Context triple: [Thank God It's Thursday programming block, partOfDaypart, primetime]
-
A.
segmentOfDaypart
chosen
Indicates that one time segment occurs within or corresponds to a specific part of the day (e.g., morning, afternoon, evening).
-
B.
dayPattern
Indicates the recurring schedule or configuration of days on which an event, action, or condition occurs.
-
C.
associatedTimeOfDay
Indicates the specific time of day during which an event, state, or relationship occurs or is most relevant.
-
D.
dayType
Indicates the classification or category of a given day based on its characteristics or role (e.g., weekday, weekend, holiday).
-
E.
dayBeginsAt
Indicates the specific time at which a given day starts.
- 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_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
Created at: April 27, 2026, 8:39 a.m.