Triple
T12542866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hallmark Channel |
E299885
|
entity |
| Predicate | typicalHolidaySeasonOutput |
P105804
|
FINISHED |
| Object | dozens of original Christmas movies per year |
—
|
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: dozens of original Christmas movies per year | Statement: [Hallmark Channel, typicalHolidaySeasonOutput, dozens of original Christmas movies per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalHolidaySeasonOutput Context triple: [Hallmark Channel, typicalHolidaySeasonOutput, dozens of original Christmas movies per year]
-
A.
holidayType
Indicates the specific category or kind of holiday associated with an event or date (e.g., public, religious, national, or personal).
-
B.
holidayRole
Indicates the specific function, duty, or part an entity plays in relation to a holiday or holiday-related event.
-
C.
holidayAssociation
Indicates a relationship where one entity is connected to, themed around, or designated for a particular holiday.
-
D.
holidaySchedule
Indicates the planned dates, times, and durations during which holidays occur or are observed.
-
E.
primaryHoliday
Indicates that one holiday is the main or most significant holiday associated with a given entity, time, or context.
- F. None of above. chosen
Provenance (4 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95f5148948190946a575d812b329d |
completed | April 10, 2026, 8:36 p.m. |
Created at: April 8, 2026, 9:57 p.m.