Triple
T3175006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Favorite Things |
E66440
|
entity |
| Predicate | associatedWithHolidaySeason |
P39851
|
FINISHED |
| Object | winter holidays |
—
|
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: winter holidays | Statement: [My Favorite Things, associatedWithHolidaySeason, winter holidays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithHolidaySeason Context triple: [My Favorite Things, associatedWithHolidaySeason, winter holidays]
-
A.
hasHolidayAssociation
chosen
Indicates a relationship where something is connected or related to a holiday, such as by theme, usage, or occurrence.
-
B.
holidayAssociation
Indicates a relationship where one entity is connected to, themed around, or designated for a particular holiday.
-
C.
relatedHoliday
Indicates that there is an association or connection between two holidays, such as thematic, temporal, cultural, or contextual relatedness.
-
D.
holidayType
Indicates the specific category or kind of holiday associated with an event or date (e.g., public, religious, national, or personal).
-
E.
hasSeasonalHighlight
Indicates that something features a notable or emphasized aspect during a particular season or time of year.
- 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_69ad8586a34c8190944c63ec11a8de1a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada671e6848190a683eec1519b9268 |
completed | March 8, 2026, 4:40 p.m. |
| PD | Predicate disambiguation | batch_69ad9e02677c8190a21d93b1259b2761 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.