Triple
T31888814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Song for a Winter's Night |
E814079
|
entity |
| Predicate | isAssociatedWithHolidaySeason |
P39851
|
FINISHED |
| Object | Christmas 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: Christmas season | Statement: [Song for a Winter's Night, isAssociatedWithHolidaySeason, Christmas season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAssociatedWithHolidaySeason Context triple: [Song for a Winter's Night, isAssociatedWithHolidaySeason, Christmas season]
-
A.
hasHolidayAssociation
chosen
Indicates a relationship where something is connected or related to a holiday, such as by theme, usage, or occurrence.
-
B.
typicalHolidaySeasonOutput
Indicates the usual or expected level of output or activity that occurs during the holiday season.
-
C.
hasHolidaySales
Indicates that an entity conducts or experiences sales or promotional events specifically associated with holidays.
-
D.
holidayAssociation
Indicates a relationship where one entity is connected to, themed around, or designated for a particular holiday.
-
E.
setDuringHoliday
Indicates that an event, action, or state occurs within the time period of a specified holiday.
- 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_69f348ef817481908440e2250319bcc8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b0f115f88190ad7cacf3b6d15245 |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:57 p.m.