Triple
T19024708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Holly and the Ivy |
E465576
|
entity |
| Predicate | hasChristmasTheme |
P70067
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Holly and the Ivy, hasChristmasTheme, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChristmasTheme Context triple: [The Holly and the Ivy, hasChristmasTheme, true]
-
A.
hasChristmasSetting
Indicates that an event, scene, or work takes place during or is thematically set around the Christmas holiday period.
-
B.
hasSeasonalDecorations
Indicates that an entity is adorned with decorations that are specific to a particular season or holiday period.
-
C.
hasChristmasMarket
Indicates that a place or entity hosts or features a Christmas market.
-
D.
hasAdventCalendar
Indicates that one entity possesses or is associated with an advent calendar related to another entity or context.
-
E.
hasFestivalTheme
chosen
Indicates that something is associated with, characterized by, or designed around a particular festival-related theme.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6e271848190b67ad08af35b6796 |
completed | April 20, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69e4a2fd80c081908237317a3a883e1c |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:02 p.m.